Modeling Analyst Resume Samples

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DS
D Swaniawski
Delia
Swaniawski
4209 Beahan Club
Detroit
MI
+1 (555) 792 5845
4209 Beahan Club
Detroit
MI
Phone
p +1 (555) 792 5845
Experience Experience
Houston, TX
Modeling Analyst
Houston, TX
White-Deckow
Houston, TX
Modeling Analyst
  • Perform full cycle model design and development from target definition through to implementation and performance measurement
  • Create customer segmentation schemes that will provide our analytic teams with insights into our customers
  • Assist Service Director and management in gathering and mining SAP data
  • Provide recommendations to campaign managers ahead of major programs
  • Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
  • Work with IT and Data Reporting team on the evaluation of data management
  • Assist / control in SAP rollouts
Philadelphia, PA
Predictive Modeling Analyst
Philadelphia, PA
Jerde-Keebler
Philadelphia, PA
Predictive Modeling Analyst
  • Perform Modeling & Simulation to determine mission impacts of near and long term future enterprise capabilities for providing geospatial information support
  • Establish model schedules or invoke real time through workflow and other application integration
  • Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes
  • Coordination of future acquisition and development activities
  • Maintain and enhance predictive models. Identify and recommend improvements
  • Develop and maintain predictive models using data mining and SPSS statistical tools
  • Provide analytics and model recommendation insight
present
Houston, TX
Catastrophe Modeling Analyst
Houston, TX
Swaniawski, McGlynn and Kutch
present
Houston, TX
Catastrophe Modeling Analyst
present
  • Work closely with all stake holders on all aspects of the reinsurance financial placement process
  • Providing insurance account data entry, enhancement, coding and modeling support to underwriting and regional catastrophe teams globally
  • Providing catastrophe modeling results to support the pricing and underwriting process
  • Perform desktop reviews
  • Integrate and analyze data from multiple sources as to reach conclusions and make recommendations
  • Analyze client exposure value data and assess fitness for use for catastrophe modeling
  • Familiarity and comfort with manipulating large data sets
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
The Ohio State University
Bachelor’s Degree in Statistics
Skills Skills
  • Advanced ability to turn data and information into actionable insight and solving problems
  • Ability to make good decisions based on a mixture of analysis, experience and judgment
  • Ability to make good decisions based on a mixture of analysis, experience and judgment Advanced awareness of how strategies and tactics work in the marketplace
  • Results oriented approach with the ability to turn data and information into actionable insight to solve problems
  • Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
  • Strong relationship building and communication (written and oral) skills
  • Ability to apply creative thinking to come up with new and unique ideas
  • Knowledge of insurance products
  • Expert ability to use decision science software (SAS, JMP, etc.)
  • Ability to work on multiple projects at once
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15 Modeling Analyst resume templates

1

Ppnr Modeling Analyst Resume Examples & Samples

  • Aid in design, building, implementation, and support of quantitative models to forecast of all key Pre-provision Net Revenue components across the company for use in internal forecasting, capital stress testing and CCAR exercises
  • Design models to fit business model and internal data and acquire required data
  • Maintain a clear documentation trail of approach and process
  • Ensure consistency across models employed for forecasting and stress testing
  • Improve model intelligence by liaising with internal and external resources
  • Periodically perform quality and performance testing on models
  • Remain abreast of modeling research and development
  • Conduct econometric and statistical analysis of times series and panel data sets
  • Generate data extracts and reports for use in statistical analysis
  • Master’s degree and Ph.D. in a quantitative field
  • 5 years’ experience in a quantitative field
  • Solid background in economics
  • Solid knowledge of one or more primary statistical modeling tools
2

Senior Modeling Analyst Resume Examples & Samples

  • Flexibility and resourcefulness to interface and collaborate with internal and external groups
  • Investigative skills
  • Team building and interpersonal skills
3

Scoring, Analytics & Modeling Analyst Resume Examples & Samples

  • Intense US & local regulatory requirements for Model & Segmentation Management
  • Intense support for Models documentation, MIS and submissions
  • Ad hoc analysis to support Global Reporting, GCCFRP compliance (Ch 17-Model Risk Management), Audit follow ups, in addition to ensuring all regional deliverables to Global Risk, Country Risk, Finance and Business segments
  • Master’s Preferred (MBA, Statistics, Econometrics, Ops Research). BA with experience will be considered
  • English required and Spanish is a plus
  • Experience in analytics, statistics, and modeling experience desirable
  • Modeling and Segmentation with SAS, Triad, Chaid
  • XLS Power user, XLS macro knowledge; SAS experience desirable
  • Project Management and/or Six Sigma Process certification desirable
  • Excellent PC skills (MS Word, Excel, PowerPoint) are required
  • Strong technical, analytical and communications skills (written and verbal in English)
  • Must be a team player, very self-motivated and able to manage and prioritize workload
  • Ability to design MIS reports via Cube or SAS platforms
4

Plcc-lead Risk Modeling Analyst Resume Examples & Samples

  • Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations. (40%)
  • Participate in overall project design and delivery with Risk Analytics’ other functional teams and end-clients. (10%)
  • Validate, track, and monitor delivered projects. (20%)
  • Produce robust documentation to ensure replicability of results and fulfill Barclays governance requirements. (15%)
  • Work constructively with other Barclays resources to deliver projects.(5%)
  • Work with other RA staff to ensure project completion within agreed time frames and end-client satisfaction. (5%)
  • Contribute to the broader Risk Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration. (5%)
5

Business Modeling Analyst Lead-igrafx Resume Examples & Samples

  • Loading the firmwide process hierarchies and glossary frameworks into the CCB environment ensuring that users correctly link their models to the firmwide standards
  • Helping enforce CCB’s governance around the structure, organization and content of models
  • Managing and supporting the platforms process reporting capability, ensuring that reports are structured to meet the CCB business’ needs
  • Administering the different modelling repositories, controlling naming and access rights
  • Provide training and assistance to users on how to effectively use the tool in accordance with JPMC standards
  • 5+ years' experience of business process modeling with a deep knowledge of the different types of models and the industry best practice in their creation, management and standardization
  • 3+ years' experience of Process Modelling Tool, administration and configuration where configuration covers tasks such as setting up standard templates, account management, and the creation of repositories
  • 3+ years' experience with MS Visio process models
  • Experience with designing and governing meta-models
  • Specific experience supporting and administrating iGrafx Process Modelling toolset including supplementary tasks such as the customization of iGrafx templates (knowledge of iGrafx is a key differentiator for this role)
  • Experience in using and/or supporting OpenText ProVision
  • Experience with the import and export of data from process modeling tools
6

Operational Risk Modeling Analyst Resume Examples & Samples

  • Be the group's liaison and point of contact for operational risk modelling in the US. Support the communication to senior management and the various governance groups as well as the regulatory bodies
  • Support the ongoing development of the Group's stress testing capabilities in relation to the Operational Risk and the incorporation of these in the regulatory frameworks (CCAR, ICAAP, etc)
  • Support the Operational Risk scenarios process in the US IHC
  • Provide quality assurance (testing, documentation) on all quantitative elements of the operational risk model to ensure internal/external approval
  • MSc or PhD in quantitaive dicipline with strong preference for statistics and applied probability
  • 4-6 years of work experience in a financial institution with solid understanding and practical experience of model development
  • Excellent mathematical and computing skills
  • Outstanding Analytical and Problem Solving skills
  • Ability to communicate complex concepts to varied audiences in a logical and precise manner
  • Strong organisational skills and ability to work under pressured timelines
7

Lead Modeling Analyst Resume Examples & Samples

  • Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting), in collaboration with Risk Modeling Leader Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and support gap closing projects
  • L supporting data warehouses in terms of accuracy and completeness; understand data and process structures from System of Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
  • Develop and perform processes for model monitoring Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops) Manage and guide supporting resources as required
  • Bachelor's degree in Risk related field (Accounting, Business, Economics, Finance, Math/Stat, Operations Research, etc. with Quantitative underpinning) with 5+ years of relevant Risk or Finance experience Strong business finance acumen, especially in Financial Services Industry Experience in underwriting, risk, actuarial, statistical reporting roles
  • Demonstrated experience in statistical model lifecycle management, including proficient level of expertise with at least one statistical modeling language/utility SAS (or equivalent) proficiency and expertise building and implementing routines for data transformation Demonstrated strong SQL skills and experience delivering SQL code and supporting physical database designs
  • Strong knowledge of MS office tools, and data mining tools (Access, SQL, BO, SAS, etc.)
  • Graduate degree in Risk related field (Accounting, Finance, Economics, Math/Stat or Operations Research with Quantitative underpinning); FRM and CFA a plus Familiarity with Basel Initiative, Treasury operations and regulatory matters
  • Experience in management of, or results driven contribution to, cross-functional teams (Risk, Finance, IT, Operations) Strong knowledge of commercial finance Demonstrated ability to lead and support projects from beginning to end Self-starter, ability to work independently in a fast paced environment and deliver solid action oriented results quickly
  • Excellent oral and written communication skills Strong interpersonal and team management skills
8

Lead Modeling Analyst Resume Examples & Samples

  • Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and support gap closing projects
  • Manage model supporting data in terms of accuracy and completeness; understand data and process structures from System of Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
  • Drive standardization of processes that ensure timely generation and retrieval of reporting and risk analytics data, including support of model management framework Incorporate operational definitions and conceptual system designs to create algorithms that meet business reporting and analytics needs
  • Develop and perform processes for model monitoring
  • Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops)
  • Manage and guide supporting resources as required
  • Must be willing to work out of an office in Chicago, Irving, Danbury, New York City, and Atlanta
  • Graduate degree in Risk related field (Accounting, Finance, Economics, Math/Stat or Operations Research with Quantitative underpinning) and two years of Modeling related expereince
  • FRM and CFA a plus Familiarity with Basel Initiative, Treasury operations and regulatory matters
  • Strong knowledge of commercial finance Demonstrated ability to lead and support projects from beginning to end
9

Senior Modeling Analyst Resume Examples & Samples

  • 30%: Data and Information Expert: review internal and external data sources to achieve greater understanding about customers and opportunities. Initiate recommendations to manager and/or lines-of-business to enhance data set (third party, primary & secondary research, etc.)
  • 40%: Analytics and Statistical Modeling: build statistical models to improve portfolio and campaign performance through better targeting and understanding. Develop solutions for frontline usage which will ultimately improve profitability
  • 30%: Strategy development and Implementation: provide modeling recommendations and customer insights that support our Marketing partners’ goals and expectations. Document and present insights and analysis to our partners in a manner that can be understood by those with various backgrounds. Assist in the implementation of strategy
  • 5 years’ experience in database marketing analytics and modeling, preferably in retail and commercial banking
  • A passion for bringing advanced analytics to inform marketing decisions
  • Expert knowledge of SAS, SQL or equivalent as well as analytical research and experience working with large datasets
  • Advanced University degree in an analytical discipline such as Statistics, Mathematics, Economics, Operations Research or Engineering
  • Skilled Knowledge: Analytical Thinking; Data Mining; Data Modeling; Problem Solving
  • Ability to clearly communicate results of analysis and models to both sophisticated technical experts and to diverse business partners
10

Modeling Analyst Resume Examples & Samples

  • Bachelor’s degree in Economics, Finance, Math, Statistics or a related scientific/quantitative field
  • 3+ years of experience as an analyst (1+ years with a Master’s degree)
  • Skilled in financial modeling, predictive modeling, statistical analysis and/or optimization techniques
  • Comfortable using analytical software such as SAS or similar statistical packages
  • Efficient database querying and data exploration skills using SQL
  • Ability to create data visualizations and presentations using Excel and Power Point
  • Critical thinking along with the courage to challenge the status quo
  • Assertive and confident communication skills
  • Ability to manage and prioritize multiple projects in a fast paced environment
11

Modeling Analyst Resume Examples & Samples

  • Master’s degree with a concentration in Math, Statistics, Data Science, Computer Science, Quantitative Social Science or a related discipline, preferred
  • Or, Bachelor’s Degree in Math, Statistics, Data Science, Computer Science, Quantitative Social Science or a related discipline, with 3+ years of analytic experience, required
  • Decision science analytic skills, including statistical analyses (predictive modeling, experiential design, optimization), statistical analysis and optimization techniques
  • Advance ability to use decision science software (SAS, JMP, etc.)
  • Familiarity with open source software/programming (R, Hadoop, Python etc.)
  • Strong relationship building and communication (written and oral) skills
  • Ability to work on multiple projects at once
  • Results oriented approach with the ability to turn data and information into actionable insight to solve problems
  • Ability to apply creative thinking to come up with new and unique ideas
12

Modeling Analyst Resume Examples & Samples

  • Master’s degree with a concentration in Math, Statistics, Marketing Science, Quantitative Social Science or a related disciple with 3+ years of analytic experience, preferred
  • Bachelor’s Degree in a related disciple with 5+ years of analytic experience, required
  • Advanced Decision science analytic skills, including statistical analyses (predictive modeling, experiential design, optimization), statistical analysis and optimization techniques
  • Expert ability to use decision science software (SAS, JMP, etc.)
  • Advanced ability to turn data and information into actionable insight and solving problems
  • Excellent relationship building and communication (written and oral) skills
  • Has a strong drive for results and pushes self and other for those results
  • Ability to make good decisions based on a mixture of analysis, experience and judgment Advanced awareness of how strategies and tactics work in the marketplace
13

Modeling Analyst Resume Examples & Samples

  • Master’s degree with a concentration in Math, Statistics, Marketing Science, Quantitative Social Science or a related discipline, preferred
  • Or a Bachelor’s Degree in a related disciple with 3+ years of analytic experience, required
  • Ability to make good decisions based on a mixture of analysis, experience and judgment
14

Modeling Analyst Resume Examples & Samples

  • Master’s degree with a concentration in Finance, Math, Statistics, Quantitative Science or a related disciple and 3+ years of analytic experience OR a Bachelor’s Degree in a related disciple with 5+ years of analytic experience
  • Advanced skills in financial modeling, predictive modeling, statistical analysis and/or optimization techniques
  • Expert user of analytical software such as SAS
  • Efficient database querying and data exploration skills
  • Talent in creating data visualizations and presentations using Excel and Power Point
15

Risk Modeling Analyst Resume Examples & Samples

  • Perform forensic data analysis and data mining to identify patterns of suspicious activity, outliers, anomalies and other issues that represent fraud risk
  • Develop, adjust, and /or maintain fraud detection models to prevent losses on real time on-line transactions, oversee the implementation process and design reports to validate the model periodically
  • Develop operational metrics and benchmarking through reporting and trending
  • Monitor industry trends in any fraud related areas, including new fraud pattern, service, detection tool and any new technology
  • Detect, define, and deter fraud and greater fraud schemes
  • Monitor operations for security and service quality, ensuring fraud products are delivered within established security guidelines and quality standards
  • Ensure fraud detection methods offered comply with financial industry security regulations and consumer privacy laws as they relate to the Company's operations
  • Provide leadership through successful coordination/collaboration with other Company departments, including Sales Operations, AR, OM, and Call Centers to ensure efforts are effective, successful and reflect the Company's strategy
  • Perform networking with other companies in the card-not-present payment environment to establish and leverage sound business practices
  • Performs ad-hoc investigative and statistical analytics to facilitate risk investigations and external stakeholders on their investigation of risk events
16

Senior Modeling Analyst Resume Examples & Samples

  • Work efficiently with clients and analytics partners to define, extract, and synthesize available data and share results and insight with Mullen Lowe U.S. team members
  • Assist in developing predictive models to support proactive "what-if" analysis and guide marketing and advertising decision-making
  • 3-5 years of work experience in a professional services environment, consulting, advertising or internal client teams
  • 1-3 years of advanced statistical analysis in a marketing/advertising environment, including but not limited to cluster analysis, media mix modeling and optimization, predictive analytics, and experimental design
  • Must have a masters degree in Statistics, Economics, Mathematics, Business, Marketing or other segmentation
  • Must have advanced knowledge and application of data extraction and statistical software such as SAS, SPSS, SQL, Microsoft Excel, and/ or others
  • Familiarity with statistical modeling, direct/digital marketing test designs, and audience segmentation
  • Must have advances knowledge and application od data extraction and statistical methods
  • Ability to work with analysts in model development and application of statistical methods
  • Ability to articulate strategic marketing implications of performance results for business audiences with clarity and persuasiveness
  • Balances desire for quantitative rigor with realities of inconsistent business date
17

Modeling Analyst, Channel Development Resume Examples & Samples

  • Design, implement, and deploy algorithms and models to inform pricing and promotional strategies
  • Analyze historical data and build forecasting systems to determine future business opportunities and metrics
  • Utilize advanced data mining and to solve for various algorithmic problems
  • Assist in providing a statistical forecast for both consumption and shipments based on historical trends and seasonality
  • Anlayze and enhance lift and coefficients models
  • Develop and automate predictive modeling processes
  • Functional experience in modeling, statistical analysis, or forecasting (2+ years)
  • Experience mining large data sets to deliver powerful business insights (2+ years)
  • Degree in Computer Science, Statistics, Ecomonics, Applied Mathmatics or related field
  • Strong background in data mining, machine learning, statistical analysis, SQL and modeling
  • Fluency in analytical tools such as SAS, Matlab or R
  • Experience with Tableau, Toad and Oracle preferred
  • Ability to model and anlyze pricing and promotion trends, activity and strategies
  • Proven ability to conduct large scale data analysis to provide key insight from data
  • Strong problem solving skills, and ability to apply them to complex problems
18

Modeling Analyst Resume Examples & Samples

  • Actuarial and statistical analysis experience required (Actuarial exams a strong plus)
  • Actuarial or modeling experience across multiple risk quantification disciplines/coverages
  • Brokerage actuarial/analytical experience is strongly advised
  • Other actuarial/analytical expertise levels valued : Workers Compensation, Predictive Modeling, Professional Lines, Life and Health, Financial Analysis, Nat Cat Modeling
  • Able to participate as a senior member of client-facing team(s)
  • Advanced computer modelling skills, higher level programing a strong plus
19

Launch & Pipeline Modeling Analyst Resume Examples & Samples

  • Bachelor's Degree in Business, Marketing, IT, Operations Research or related field
  • 3+ years of experience in IT-related positions with relevant experience in user applications
  • Knowledge of IMS
  • Experience working with cross-functional/cross-divisional teams
  • Prior experience in a healthcare company, including but not limited to generics, large or specialty pharmaceutical, drug wholesaler environment
20

Quant / Modeling Analyst Resume Examples & Samples

  • Review the reasonableness of the conceptual approach and quantification techniques
  • Understand how the models are used in the decision-making process
  • Validation of models' appropriate use and predictive accuracy
  • Assessing model performance considering data inputs, model mechanics and model output
  • Verifying that validated models have been implemented correctly
  • Assessing adequacy of model owners monitoring and maintenance
  • Assessing model risks and limitations
  • Documentation of validation procedures and results
  • Keep abreast of industry best practice standards for model validation
  • Working collaboratively with model stakeholders in the validation process
  • May engage with regulators as needed to showcase independent review results
  • Supporting dissemination of Bank’s model development, documentation and validation standards
  • Bachelor's degree in Mathematics, Statistics, Financial Engineering, Business Analytics, Economics, or related field of study
  • Outstanding academic achievement
  • Strong accounting and financial acumen
  • Exceptional interpersonal and relationship-building skills
  • Relevant work or internship experience, a plus
  • Working knowledge of SAS, MATLAB or other advanced statistical software, a plus. Proficiency in programming languages C++ or VB, a plus
21

Catastrophe Modeling Analyst Resume Examples & Samples

  • Analyze client exposure value data and assess fitness for use for catastrophe modeling
  • Use commercial catastrophe modeling software to measure physical and economic loss from catastrophes for Willis Re clients and prospects
  • Interpret and explain model physical, financial, and economic outputs to colleagues/brokers/clients/prospects/reinsurers
  • Work closely with all stake holders on all aspects of the reinsurance financial placement process
  • Minimum of 2 years catastrophe modeling experience
  • Ability to work in an unstructured environment
  • Ability to understand model input data and explain outputs
  • Experience in using GIS Software
  • Bachelor’s degree from a credited four-year college or university – Concentration in fields such as mathematics, economic, and finance: Advanced degree a plus
22

Quant / Modeling Analyst Resume Examples & Samples

  • Develop, implement and monitor early and late stage delinquent account collection strategies
  • Develop tests of significance to determine whether results of champion/challenger tests are statistically meaningful
  • Document changes to strategies and the expected results
  • Assist in the creation of presentations to senior management to influence the direction of the business
  • Work with business partners to provide ad hoc reporting as required. Identify and deliver reporting to address key business needs
  • Bachelor’s degree in business, math, economics, statistics, or equivalent combination of education and experience in quantitative analytics is required
  • Knowledge of consumer banking products and/or collections experience a plus
  • Proficient in Excel, Powerpoint and using analytical tools such as SQL, SAS (required), and decision tree software
  • Work collaboratively with cross-functional members across the organization
23

Senior Catastrophe Modeling Analyst Resume Examples & Samples

  • Present modeled output in various forms to colleagues/brokers/clients/prospects/reinsurers
  • Minimum of 5 years catastrophe modeling experience
  • Skills in MS Excel, SQL Server and detailed commercial catastrophe models (RMS/AIR/EQE). Proven use of the model(s) is required
  • Ability to understand economic business context and regulatory context of catastrophe modeling
  • Proficient understanding of (re)insurance financial terms
24

Quant / Modeling Analyst Resume Examples & Samples

  • Ph.D. or Master's degree in finance, mathematics, statistics or other quantitative field
  • 1-3 years of loss forecasting/ model validation experience
  • Experience with development of testing methodologies and creation of working papers
  • Advanced knowledge of statistics, mathematics and financial modeling
  • Proficiency in SAS or other advanced statistical software
  • Proficiency in the use of Microsoft Office with advanced experience in Excel
  • Ability to perform multiple tasks simultaneously to meet strict deadlines
  • Ability to work independently and in a team environment in collaboration with other team members and external consulting firms
25

Quant / Modeling Analyst Resume Examples & Samples

  • Conduct independent validations
  • Understand the conceptual framework and assumptions of the models and how the models are used in the business decision-making process
  • Assess model performance
  • Verify that validated models have been implemented correctly
  • Assess adequacy of model owner’s monitoring and maintenance
  • Assess model risks and limitations
  • Verify that model has been properly documented
  • Document the validation procedures and results
  • At least 1 year of loss forecasting/ model validation experience
26

Modeling Analyst Resume Examples & Samples

  • Create and maintain predictive statistical models used in consumer acquisition programs. Work with supervisor, marketing managers and business owners to identify opportunities for analysis
  • Apply existing models to marketing programs, provide tracking results of those programs
  • Design tests for marketing promotion (online/offline), analyze and report on program results
  • Assist in managing and improving consumer data sets; including promotions, purchases, site activity, and demographic data
  • Work with vendors to ensure that data are high quality and available
  • Compile and maintain appropriate documentation
  • Provide recommendations to campaign managers ahead of major programs
  • Complete ad hoc analytic tasks and reporting as needed
  • Master’s degree in statistics, math, economics, operations research or a related field is preferred. Will also consider candidates with a Bachelor's degree in a quantitative discipline, coupled with significant modeling or digital analytics experience
  • Data mining skills utilizing SAS, as well as R or Python. Capability with other data analysis languages/analytic platforms helpful – such as Hadoop, MongoDB, MySQL, etc
  • Expertise with applied statistics including regression, clustering, machine learning, CHAID, experimental design, and other techniques appropriate for large scale analysis of numeric and text data
  • Two or more years of business/marketing analytics experience, preferably in a consumer-based media organization
  • Ability to clearly communicate visualize analytic findings, in a compelling and actionable manner
  • Ability to build strong working relationships with partners in both quantitative and non-quantitative functional areas
27

Actuarial Modeling Analyst Resume Examples & Samples

  • Build, maintain and validate financial models for reinsurance pricing, in-force and new business rate setting, cash flow testing, DAC, reserve valuation, and corporate planning
  • Produce and summarize projections to support management and regulatory needs
  • Streamline and automate the input data used in projections and valuation and financial reporting processes. Work to streamline and automate the data output into efficiency reporting tools
  • Maintain well-controlled MG-ALFA or ArcVal models and updates all assumptions following the assumption governance process
  • Collaborate with individuals throughout the organization to optimize financial results, with a particular emphasis on model efficiency and effectiveness along with data integrity in all reports
  • Bachelor’s degree or higher in Actuarial Science, Mathematics, Statistics, or related field
  • ASA preferred, or demonstrated path toward earning SOA designations
  • Minimum 3 years professional experience, with some data analysis or modeling background
  • Well rounded professional experience, including using actuarial financial projection software
  • Advanced Microsoft Excel skills necessary, as well as competency with other MS Office applications
  • Be able to manage and analyze large data sets using tools such as MS Access, SQL Server or SAS preferred
  • Inquisitive and innovative
  • Forward-looking, including the ability to anticipate questions and develop responses in advance
28

Catastrophe Modeling Analyst Resume Examples & Samples

  • Knowledge of GIS principals, theories, and practices
  • Proficiency with Esri suite of software products
  • Proficiency with open source GIS packages
  • Proficiency of web based GIS
  • Ability to gather, understand, and critically analyze data from all relevant sources, such as Hydrology/weather/climate information/DEM, etc
  • Solid technical programming skills in high level scripting language (e.g., R, MATLAB, Python, etc.)
  • Familiarity and comfort with manipulating large data sets
  • Basic knowledge in statistics
  • Experienced on MS SQL Server
  • Hydrology and hydraulic background is a huge plus
29

Senior Modeling Analyst Resume Examples & Samples

  • This person must have expert data analytic and technical skills, very good follow-through on problem resolution and attention to details and demonstrate the ability to extract and synthesize data, determine trends and make recommendations based on facts and data
  • This candidate will need to be able to edit technical English documents
  • Must also have necessary abilities to integrate businesses needs with systems capabilities to achieve Citibank goals
  • Experience developing and validating models used for risk management of retail portfolios (credit scorecards, risk segmentations, portfolio forecasting and DFATS/CCAR) is a plus. Familiar with different model development methodologies (linear/logistic regression, multivariate analysis, CHAID, CART, time series, transition matrices, etc.) is a plus
  • Experience working with Consumer Credit Business MIS systems. The ideal candidate must have at least 7+ years in model management with 5+ years focused on model development/validation, business development of data /reporting/MIS requirements, supporting business needs with Technology
  • Knowledge of SAS, SPSS, R or other data mining/statistical software is a plus
30

Quality Modeling Analyst Resume Examples & Samples

  • Manage and participate in the quality review process for all internal and external requests
  • Interface with data vendors, modeling, technology and production personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models
  • Define thorough test requirements and objectives
  • Recognize and communicate realistic expectations around capabilities and deadlines
  • Author, review and troubleshoot modelers coding queries; this includes verifying modeling attributes are consistently defined and all data manipulation techniques work as expected
  • Participate in the verification of a product via user acceptance testing
  • Assist in the development of automated solutions to routine validations in order to gain efficiencies in the validation process
  • Facilitate internal communication to ensure timely updates of data streams that may affect any insurance model, attributes and decision criteria
  • Define and manage documentation for new variable aggregation, model specification, and model scorecards
  • Validate state insurance regulations affecting insurance products and verify models and reason codes are within regulatory compliance
  • Support and resolve ad hoc requests on consumer scoring results as submitted by internal departments
  • Define appropriate scoring documentation requirements and report formats to support ongoing data, attribute and score trending requirements
  • Responsible for measuring, maintaining and communicating score, attribute and data changes affecting insurance scoring products
  • Present analyses and findings as necessary
  • Assist team members as requested and actively participate in all team meetings
  • Bachelor’s degree in Mathematics, Statistics, or Engineering
  • At least 5-7 years data analytics, modeling development/validation or related experience
  • High degree of experience with analytical tools/programming languages such as SAS,
  • SQL, R, C++, ECL, and MS office products
  • Familiarity with the credit or insurance industry
  • Strong team player, constructive and considerate of others’ inputs with the ability to
  • Positively influence others, diplomatic skills, confident speaker even in difficult situations
  • Ability to multi-task and efficiently negotiate changing priorities and responsibilities
  • Basic understanding of modeling techniques and potential impacts of related assumptions and limitations
31

Modeling Analyst Resume Examples & Samples

  • High degree of complexity: knowledge of insurance products, features and risks; knowledge of financial modeling; use of stochastic interest rates
  • Experience with actuarial modeling software such as MG-ALFA or Prophet
  • Knowledge of insurance products
  • Strong communication and problem-solving skills
  • Technical skills such as programming languages and Excel
32

Senior Modeling Analyst Resume Examples & Samples

  • Familiarity with coding in SAS and SQL to extract and manipulate data from relational databases, preferably in Oracle, Teradata or Netezza
  • The candidate will be responsible for taking ownership of existing SAS and SQL codes of various statistical models, running it periodically and suggesting enhancements as needed
  • The candidate would have knowledge of statistical concepts to assist in statistical model building, performing market segmentations/clustering and playing a key part in the overall thought process for marketing optimization efforts
  • To be successful in this role, the candidate must be experienced with report generation and presentation with Microsoft Office tools
  • The selected candidate must also maintain a strong level of independence and possess the ability to think on their feet
  • Outstanding data analysis skills; advanced written and oral communication skills with the ability to summarize findings and present in a clear concise manner to peers, manager and others
  • Minimum 4 year college degree, preferably in science, applied statistics or other quantitative field. Master’s degree preferred
  • 3+ years’ experience in SAS coding, preferably in enterprise guide
  • 3+ years’ experience in using SQL to extract data from various relational databases. Experience with Netezza, Teradata and Oracle databases a plus
  • Familiarity with statistical concepts, Logistic/Linear regression modeling, Clustering, Hypothesis Testing is very desirable
  • Solid skills in Microsoft Office (Excel, PowerPoint, Access)
  • Must be able to work independently with limited direct supervision
33

Country Risk Modeling Analyst Resume Examples & Samples

  • Developing, validating and implementing relevant statistical and quantitative analyses
  • Reviewing, producing and updating model documentation for internal and regulatory purposes
  • Conducting benchmark and impact studies
  • Setting up and maintaining model related databases and processes
34

Quant / Modeling Analyst Resume Examples & Samples

  • One to three+ years’ experience in quantitative credit risk modeling, with experience with consumer lending preferred
  • Undergraduate degree economics, finance, mathematics, statistics or other quantitative field (Master’s preferred)
  • Advanced knowledge of statistics
  • Proficiency in the use of Microsoft Office with advanced experience in Excel and SQL
  • Critical thinkers with business intuition, intellectual curiosity, and ability to execute
  • Hands-on approach, with proven execution/process skills. Organized and focused on delivering results
  • Impeccable integrity, sound judgment, and strategic vision
  • Excellent communications skills – internally and externally, including with regulators
  • The ability to collaborate with stakeholders across all levels across of the organization
  • Ability to use advanced statistical and mathematical software to perform statistical estimation
  • Ability to create spreadsheets and write code to facilitate the analysis
35

Risk Modeling Analyst Resume Examples & Samples

  • Responsibility for providing modelling support for the various GE Capital Interbanca Leasing products
  • Development of new PD, LGD, FAS5, FAS114 and other credit risk models
  • Drafting model documentation to SR11-7 standards
  • Working with group model governance validation team to facilitate the independent validation process
  • Supporting the implementation and use credit risk models
  • Developing and running model monitoring reports
  • Collaborating with model managers to ensure model acceptance
  • Creating and presenting reports on model performance for senior management
  • Some experience in decision technology team including experience of implementing credit risk models
  • Must be able to effectively communicate complex information and recommendations to both technical and non-technical audiences
  • High level of PC literacy, including a knowledge of SAS, Matlab and Excel for complex data analysis
  • Proven track record of credit scoring project delivery with experience to handle multiple projects simultaneously
  • Knowledge of Financial products specifically in the leasing and consumer segment
36

Ihc-assistant VP-ppnr Modeling Analyst Resume Examples & Samples

  • Develop and enhance models (in partnership with LOBs and functional areas as applicable) to support stress testing and economic capital. Examples include the following
  • Bachelors or advanced Degree in accounting, finance or economics preferred
  • 4 – 6 years of financial services industry experience (capital markets knowledge preferred)
  • Proven experience in developing stress testing / forecasting models for various financial scenarios that incorporate economic and market factors
  • Knowledge of capital markets and associated risk factors
  • Working knowledge of current regulatory landscape (i.e., CCAR, Basel)
  • Familiarity with modeling tools (e.g., SAS, MATLAB)
  • Experience producing quantitative models and complex formulas / macros to calculate and forecast financials over various economic scenarios
  • Ability to adhere to strict project and production deadlines, showing strong planning and organization skills
  • Proficient in Microsoft Office Suite (Word, Excel, Access, & PowerPoint)
37

Analytics Modeling Analyst Resume Examples & Samples

  • Compose responses to internal audit, validation, and outside government agency partners to explain statistical processes supporting AML functions
  • Work to thoroughly document statistical and algorithmic efforts supporting the corporate investigative groups to ensure that US Bank meets OCC CRAD expectations and Corporate Model Validation standards
  • Post-graduate degree in Mathematics/Statistics/Machine Learning or a similar
  • 10 or more years of applicable experience
  • Strong interpersonal and written/verbal communication skills
  • Significant development experience using SQL and SAS
  • Experience supporting AML/BSA related initiatives in a large, complex, highly-regulated financial institution
  • Experience (over 2 years) developing, tuning, and optimizing statistical models in support of investigative efforts in a financial institution with specific emphasis on machine learning algorithms
38

SVP, Senior Risk Modeling Analyst Ccar Resume Examples & Samples

  • Utilize knowledge of risk assessment, risk monitoring and risk models and techniques to develop, test, document, and enhance loss forecasting, macro-economic forecasting and CCAR (stress testing) models
  • Provide operations support for generation of monthly and quarterly MIS reports and analyze potential risks and opportunities within loan portfolio
  • Prepare MIS reports for senior management and account for variances due to different data sources
  • Track model forecast vs. actual performance and analyze and identify key drivers of variance for model enhancement
  • Advanced degree in statistics, econometrics or related quantitative field
  • Ability to develop and perform analysis that addresses concerns and issues in a clear and concise manner
  • Team work, commitment, and good communication skills are required
  • 5+ years of relevant consumer finance industry experience including model development
39

Predictive Modeling Analyst Resume Examples & Samples

  • Analysis as part of trade studies, analysis of alternatives, and comparison of designed system performance against requirements
  • Operation and update of models and simulations
  • Excellent analytical and problem solving skills; Experience using logic and reasoning to identify the strengths and weaknesses of alternative technical solutions or approaches to problems
  • Proven experience in on-site interaction with customers
  • Bachelor’s degree in engineering, computer science, mathematics, or similar technical discipline
  • Experience in at least one of the following disciplines: Operations Research, Collection Performance, Remote Sensing, Signals Analysis, Functional Availability, Product Quality, and communications & network analysis
  • Understanding of end-to-end satellite engineering
40

Predictive Modeling Analyst Resume Examples & Samples

  • Experience with SIGINT performance analysis and system testing
  • Bachelor’s degree in engineering (aerospace, mechanical, electrical, software), physics, mathematics, or similar technical discipline with 5+ years of domain experience
  • Understanding of digital signal processing
  • Knowledge of satellite technology
  • Knowledge of scripting languages and MATLAB
  • Knowledge of C++, JAVA, and object oriented programming
41

Predictive Modeling Analyst Resume Examples & Samples

  • Assist the Gov’t in a complex information technology systems effort, by developing analyses using existing data (or data that you must discover and acquire) to provide objective, informed considerations (e.g. requirements, thresholds, predictions)
  • Use SQL, SAS/R, Microsoft Excel and other tools (to include those that you would develop or modify) to conduct extensive and thorough statistical and correlation analyses of mission data and challenges throughout the entire intelligence analytic workflow
  • Update software and to models, (e.g. using C#/C/C++, SAS/R, Perl, and VBA programming) to holistically understand mission impacts of near and long term future enterprise capabilities spanning the entire tasking, collection, processing, exploitation and dissemination (TCPED) cycle for geospatial intelligence
  • Perform predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators, using SQL, SAS/R, Perl and Excel
  • Lead technical exchange meetings, or participate as a subject-matter expert (SME) for multidisciplinary modeling, simulation and analysis efforts
  • BS/MS in Engineering, Mathematics, Computer Science, Information Systems or equivalent
  • 2-5 years’ experience in statistical analysis
  • 2-5 years’ experience in network or application performance analysis
42

Systems Modeling Analyst Resume Examples & Samples

  • Conduct research to develop autonomous vehicle systems and related operating strategies, including both the automation of the underlying vehicle platform itself and the functions that fill the role of the current human driver
  • Facilitate design of, specify, own, and manage the interfaces between the involved Ford element system (subsystem) teams
  • Model and produce: use cases, strategy concepts, control system designs, requirements, robustness, and verification work products
  • Coach and mentor less experienced systems modelers in performing the same on their respective projects to drive a consistent level of execution within the company
  • Develop executable and descriptive behavioral models & requirements at multiple levels, including functional decomposition and requirements and interface definition
  • Manage the cascade and negotiation of the above to/with responsible teams
  • Build and leverage physically and empirically based models/simulations to verify that proposed concepts and strategies meet the requirements
  • Lead the Quality-related activities at a systems level (FTA, FMEAs, P-diagrams, BDs, etc.)
  • Lead the Functional Safety engineering activities at a systems levels (item definition, HARA, Functional Safety Concept, etc…)
  • Perform DV tests on prototype vehicles and analyze & present the results / recommendations
  • Develop new or improve upon, model based system engineering related processes and tools to further our engineering efficiency and capability
  • Perform competitive analyses and maintain knowledge of emerging technologies in the automotive field
  • 15+ years of experience in roles involving model-based systems engineering, requirements elicitation/definition/decomposition, systems integration, and verification & validation
  • 5+ years’ experience in a model-based test & integration role
  • High School diploma or GED required
  • Experience using and/or building behavioral (analytical or descriptive) models of a system
  • Expertise in UML/SysML (including certification and/or equivalent experience) and related toolsets, including using such models for testing and test automation
  • Prior work in a software engineering / software development role
  • Prior project responsibilities in powertrain, body, electrical, chassis, or other vehicle domain projects
  • Prior experience in driver assistance (e.g. adaptive cruise control, etc…) or autonomous systems or features
  • Experience designing, building, programing, and experimenting with robots of various kinds
  • Hands-on testing and problem solving using simulation, HIL systems, & prototype vehicles
  • Working in large team environments & interfacing with highly technical points of contact for element systems (subsystems)
  • Self-motivated with the ability to manage multiple tasks and project unknowns/ambiguity
  • Experience with data acquisition tools (e.g. ATI Vision)
  • Experience with using requirements, PLM, and PLE toolsets such as Teamcenter, DOORS, etc
  • Experience in Ford Functional Safety / ISO 26262 / STPA or equivalent work products & methods
  • Experience with Matlab, Simulink, & Stateflow, or similar tools preferred
  • Bachelor’s degree OR equivalent experience in Electrical, Mechanical, Software, or Systems Engineering, Computer Science, or a Controls-related field
  • OCSMP Model-Builder certification a plus
43

Predictive Modeling Analyst Resume Examples & Samples

  • Use SQL, SAS/R, Microsoft Excel and other tools (to include those that you would develop or modify) to conduct predictive analysis, statistical and correlation analyses of mission data and challenges throughout the entire intelligence analytic workflow
  • Requires 1+ year of relevant experience
  • 1+ year experience in statistical analysis and packages
  • Working Knowledge of Customer System, Domain and Interfaces
  • Detailed knowledge of analytic methods and workflows
44

AML Modeling Analyst Resume Examples & Samples

  • Master's degree is preferred
  • Strong database skills, including working with advanced data sets, pivot tables, statistical functions and methods
  • Strong analytical skills required to organize and analyze multiple complex data sets
  • Strong ability to identify potential concerns, analyze and solve problems
  • Strong interpersonal skills. Must communicate very well verbally and in written form. Must break down complex topics into simple to understand business terms
  • Effectively demonstrate ability to communicate with team members with variouos technical background, senior managemen and government requlators
  • AML System knowledge with the following is beneficial: SAS AML, Actimize KYC, Actimize Enterprise Case Management, Actimize CTR
45

Predictive Modeling Analyst Resume Examples & Samples

  • Determine customer analysis requirements while defining project scope and managing analytical product deliverable schedules
  • Develop analysis reports and briefings to present to varying levels of government customers
  • Lead the development of predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators
  • Support systems engineering technical exchanges and meetings
  • Develop, execute, and assess mission-based capability models to enable the mission success impacts of future enterprise capabilities
  • Conduct extensive and thorough statistical and correlation analyses of mission-based characterization and performance within the NSG throughout the entire analytic workflow
  • Coordination of future acquisition and development activities
  • Perform Modeling & Simulation to determine mission impacts of near and long term future enterprise capabilities for providing geospatial information support
  • Analyze detailed system requirements and specifications for large, architectures
  • Bachelor’s degree in engineering (aerospace, mechanical, electrical, software), physics, mathematics, or similar technical discipline with 10+ years of domain experience
  • 11+ years of systems analysis, systems integration or modeling and performance analysis experience
  • Able to interpret requirements, specifications and CONOPs documents
  • Experience in Communications Resource Allocation and Remote Sensing Collection Performance; Detailed understanding of end-to-end Satellite engineering
  • Strong systems analysis skills, with the ability to identify and accurately describe system issues
  • Excellent presentation and communication skills; Demonstrated ability to clearly explain technical issues to technical and non-technical audiences; Excellent oral presentation and writing skills
  • Project Management Skills
  • Experience in multi-Int analysis and demonstrations
  • Working Knowledge of Customer System, Domain and Interfaces (desired)
46

Modeling Analyst Resume Examples & Samples

  • Develop predictive models that will form the basis for information driven strategies in Credit Risk and Marketing
  • Perform optimization analysis and build supporting component predictions
  • Create customer segmentation schemes that will provide our analytic teams with insights into our customers
  • Monitor effectiveness of all statistical models and recommend appropriate course of action
  • Perform full cycle model design and development from target definition through to implementation and performance measurement
  • Work closely with subject matter experts to understand and interpret data
  • Deliver effective communications of key design elements and development results
  • University degree in a quantitative discipline, Mathematics or Statistics preferred
  • Demonstrated superior analytical, mathematical and problem solving skills
  • Good working knowledge of statistical techniques and predictive modeling
  • Programming experience, preferably with data extraction/mining tools (e.g. SAS and SQL)
  • Ability to accurately and consistently deal with granular and detailed data
  • Proven ability to translate business needs into statistically sound solutions
  • Capable of clearly communicating analytical results to business stakeholders
  • Demonstrated experience performing statistical analysis or building predictive models from large, complex data sets considered an asset
  • Previous experience in credit cards/unsecured lending, credit scoring or customer segmentation considered an asset
  • Familiarity with statistical modeling or data mining software considered an asset
47

Catastrophe Modeling Analyst Resume Examples & Samples

  • Bachelor’s degree or higher in mathematics, finance, economics or other related/quantitative field
  • 0-2 years of Property & Casualty insurance experience with a primary carrier, reinsurer, and/or reinsurance intermediary
  • High level organizational and project management skills in order to handle multiple concurrent assignments
  • Intermediate computer proficiency in Microsoft Office
48

Modeling Analyst Resume Examples & Samples

  • Participate and lead in the development and regional execution of the global SAP metrics and business processes and strategy
  • Monitor / audit / and control SAP processes within the Region
  • Work together as part of the region leadership team to meet / exceed the Service business operating plan
  • SAP "problem solver" or "expert" and single point of contact for transferring SAP knowledge and new information to the Region
  • Develop and lead SAP training for region personnel
  • Assist / control in SAP rollouts
  • Assist Service Director and management in gathering and mining SAP data
  • Ensure operational excellence in the areas of integrity, controllership and compliance
  • Lead Six Sigma process improvements
  • 5+ years of BN field experience
  • Knowledge in SAP Enterprise Resource Planning System
  • BB or MBB certification or equivalent
  • BSME or BSEE with minimum 5 years relevant work experience
  • Exceptionally strong customer service mindset
  • Ability to manage technical professionals in a dynamic and fast-paced environment
  • Strong verbal and written communications skills
  • Six Sigma GB certification or equivalent
  • Able to travel on short notice
49

AML Modeling Analyst Resume Examples & Samples

  • Three or more years of successful investment sales experience and the desire to work in a fast-paced, goal and commission based environment required
  • Series 7 before hire (S63 also if state requirement)
  • State Life and Health before hire
  • Series 65/66 within 120 days of hire
  • Ability to make professional sales presentations and be able to build credibility with Huntington's client base
  • Must have excellent written and verbal (face-to-face and phone) communication skills including interpersonal and influencing skills needed to interact with individuals at all economic levels
  • PC and internet proficiency
50

MYA ITO Modeling Analyst Resume Examples & Samples

  • Support the ITO, OTR, and Renegotiations teams in building specific customer strategies to help PS with a proactive effort to protect and grow our SA backlog
  • Interface directly with the ITO, OTR, Legal, Engineering, and Finance Teams as required during proposal development and contract negotiation
  • Develop work-scope, issue performance guarantees, and conduct deal financial analytics as required to support customer requirements
  • Engage in continuous improvement of Risk Mitigation Processes using Six Sigma and LEAN (e.g. error detection, process control, and process design strategies)
51

Senior Forecast Modeling Analyst Resume Examples & Samples

  • Enhance and Automate Creative Cloud’s rolling 3-year financial model for subscriptions and partner closely with business owners to support continual model improvements
  • Provide insights on forecasting methodology improvements for the Creative Cloud business
  • Own and automate the consolidation of top-line actuals and forecasts across all of Creative Cloud’s business segments
  • Provide business partner support for the Creative Cloud for Education business
  • Prepare complex scenario analyses to assist company leadership in strategic product and pricing decisions
  • Drive new analytical constructs for a fast growing subscription business
  • Work with key business leaders to identify appropriate metrics to track and evaluate business performance
  • Assist with ad-hoc analysis on various projects for senior leadership as required
  • BA/BS degree in Finance, Computer Science, Accounting, or Economics
  • 3-5 years of relevant finance and or forecast modelling experience. Previous experience in creating/maintaining financial models for a subscription/SaaS business a plus
  • Expert skills in Excel business modeling
  • Experience working with large data sets (“Big Data”) and a solid understanding of relational database management
  • Strong working knowledge of SQL preferred; basic knowledge of VBA a plus
  • Self-starter who can take charge of complex tasks with minimal direction and develop new strategies and ways of approaching business challenges
  • Strong interpersonal and team building skills with ability to work with a diverse team and influence/drive change across functional boundaries
  • Strong project management, planning, and organizational skills, including ability to handle multiple projects at a time in a fast-paced environment
  • Quick learner who is not afraid to ask questions and participate in lively strategic discussions/debates
  • Critical thinker who can challenge the status quo
52

Analytics & Modeling Analyst Resume Examples & Samples

  • Creative & analytical exploration of Procurement Business Process Outsourcing (PBPO) business data in a semi-structured and iterative fashion
  • Statistical programming in tools like R/SAS/SPSS/STATISTICA
  • Responsible for development of ad hoc data analytics insights, along with longer term projects to build analytics capabilities within PBPO
  • Serve as a Subject Matter Expert on statistical analyses for the Reporting & Analytics organization by providing design input and direction into data visualization applications
  • Provide real-time data analyses to PBPO Delivery Best Practices lead to highlight and guide corrective actions & initiatives for business improvement
  • Architects, plans and drives data integration needs
  • Responsible for supporting the existing application set by diligently attending to questions and concerns raised by end users, including providing individual support and escalation of incidents as needed
  • Bachelor’s degree with a minimum of 2 years significant coursework in mathematics, data science, or statistical analysis
  • Minimum of 1 year of experience in data extraction, data manipulation, analytical analysis, & reporting
  • Minimum of 1 year of experience with statistical modeling or data mining within one or more of the following: R, SAS, Minitab, SPSS, JMP, or Mathlab
  • Advanced degree (MSc/MSE) in a technical field with significant coursework in statistical analysis
  • Experience with data management and data quality
  • Strong knowledge of RDBMS languages such as SQL
  • Minimum of 2 years SAS programming or R
  • Demonstrated ability to analyze, improve, and think critically about existing business processes to identify and communicate opportunities for improvement
  • Strong working knowledge of sourcing, category management and procurement operations
  • Proven ability to solve complex business problems using Data Visualization tools such as Qlikview
  • Experience collaborating across with multiple project teams effectively and planning/structuring analytical work
  • Ability to work independently with end users across the global organization
  • Ability to work creatively, analytically, & independently in a problem-solving environment
  • Strong communication skills and presence - ability to deliver succinct, structured and client relevant communications to peers and business leaders
  • Business acumen, as demonstrated by the ability to articulate business implications for any recommendations or proposed actions
  • Demonstrated teamwork and collaboration in professional setting; military, civilian, or academic
  • Ability & willingness to work creatively and analytically in a problem-solving environment
53

Actuarial Modeling Analyst Resume Examples & Samples

  • Streamline and automate the input data used in projections and valuation and financial reporting processes. Work to streamline and automate the data output into efficient reporting tools
  • Continued work toward achieving FSA designation through company supported Actuarial Student program
  • Demonstrated path toward earning SOA designations; minimum 2 – 3 SOA exams passed preferred
  • Professional Actuarial experience, including data analysis or modeling background gained through internships and/or college-level project work
  • Advanced Microsoft Excel skills necessary, as well as competency with other MS Office applications; knowledge of actuarial financial projection software a plus
  • Able to manage and analyze large data sets using tools such as MS Access, SQL Server or SAS preferred
54

Senior Statistical Modeling Analyst Resume Examples & Samples

  • Researching growing market trends and mining the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of business
  • Analyzing current programs and developing models/strategies that can lead to a more optimal allocation of business resources, for example marketing budgets
  • Engineering technology solutions to deliver production-quality data intelligence across a wide range of business applications
  • Documenting and communicating technical/analytic results for a non-technical audience
  • 6+ years of experience in Analytics/Database marketing
  • Preferably some experience in Financial Services, in particular Consumer Banking (loans, deposits, small business banking, etc.)
  • 6+ years of experience in SAS programming
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
  • Ability to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partners
  • Ability to work independently with minimal supervision to deliver technical initiatives and projects through to completion, including formal and informal technical direction of other intra-team and inter-team project contributors
  • Ability to coordinate and successfully interact with multi-disciplinary technical and non-technical project teams, successfully interfacing between strategic business objectives and logistical technology requirements
  • Strong direct hands-on programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Splus, etc.)
  • Deep knowledge of a variety of statistical concepts and procedures such as: generalized linear models, machine learning algorithms, experimental design, stochastic processes, Markov process modeling, response surface methodology, and statistical graphics
55

Business Modeling Analyst Resume Examples & Samples

  • Develops and leverages modeling and analytics capability, working with the supply chain leadership team and key business partners and stakeholders to improve results around safety, service and savings, contributing to the 2020 goals and 2017 objectives
  • Develops modeling as a key capability, with a set of tools that help to solve complex or persistent business challenges that that gains can be sustained
  • Influence senior business and supply chain leaders and work collaboratively across divisions and functions to drive data-based solutions to complex problems using the language of the business
  • Bachelor’s Degree in Chemistry, Biology, Engineering, or Operations / Supply Chain Management
  • 15+ years experience working in a manufacturing or supply chain environment
  • Immigration sponsorship not available for this role
  • Advanced degree in science, engineering or MBA
  • LSS Certification with completed Green Belt or Black Belt projects
  • Experience in modeling for cost reduction, continuous improvement, vendor management, or planning; some systems knowledge preferred (Ecolab Systems preferred)
  • 1-2 years of experience in cross functional project or program management in a manufacturing or supply chain environment
  • Analytical skills & ability to develop creative solutions to problems; strong PC skills e.g. highly proficient with MS Access and Excel
  • Strong communications & leadership skills needed to influence & lead others & to promote change; ability to present to groups
56

Analytics & Modeling Analyst Resume Examples & Samples

  • Highly motivated, team player, thrives on challenge and delivering exceptional results
  • BA+ degree with a quantitative focus (mathematics, statistics, computer science, engineering)
  • 1-3 years experience in in a procurement, logistics, materials management or supply chain manufacturing / consulting environment
  • Proficiency in Microsoft Excel, Access and SQL preferred
  • Excellent communication skills - written and verbal in both English and Mandarin including formal presentation skills; CET 6 is a must, understand Japanese is preferred
  • Experience specific to market data analysis, financial analysis, forecasting techniques, and competitive analysis is a plus
  • 3+ years experience in in a procurement, logistics, materials management or supply chain manufacturing / consulting environment
  • Excellent communication skills - written and verbal in both English and Mandarin including formal presentation skills; CET 6 is a must
57

Cost Modeling Analyst VIE Resume Examples & Samples

  • Capitalise and provide an expertise to develop internal cost models
  • Business School or Engineering background with a Finance degree
  • Minimum 1 year experience in engineering, operations and manufacturing
  • Ability to manage uncertainty and resist to stakeholder pressure
  • Demonstrated strong communication skills and autonomy
  • Good negotiation skills and arbitration abilities
  • Ability to challenge status quo and implement effective changes to improve controlling performance
58

Modeling Analyst Resume Examples & Samples

  • Support development and implementation of long term modeling strategy including
  • 3-5 years insurance industry experience preferably related to modeling and financial projections
  • Experience with actuarial modeling software such as MG-ALFA or Prophet
  • Knowledge of insurance products
  • Technical skills such as programming languages and Excel
59

AVP Lead Risk Modeling Analyst Resume Examples & Samples

  • Communication - Good communication skills with the ability to think quickly and package ideas and results in a logical, understandable way for both technical and non-technical audiences
  • Experience in the area of regulatory modelling is a plus
  • A good understanding of the Group’s Model Risk Policy
  • Strong SAS programming skills
60

Ccar & Non-score Modeling Analyst Resume Examples & Samples

  • Strong analytical skill and critical thinking
  • Fluent communication both in English and Bahasa Indonesia, both verbal and in writing
  • Risk management background is preferable
  • SAS programming skill and/or familiarity with SPSS Clementine will be a benefit but not a pre-requisite
  • Sensitivity to deadlines
61

Digital MYA ITO Modeling Analyst Resume Examples & Samples

  • Serve as the ‘go-to’ modeling expert for the OTR and Commercial Renegotiation teams (iCAM modeling, scenario analysis, etc.)
  • Attend and support customer negotiations when required
  • Maintain and improve risk modeling capabilities for Gas Turbine, Steam Turbine, and Generator product lines
  • Support implementation and growth of the Policy 6.0 to Policy 5.0 Feedback Process
62

Predictive Modeling Analyst Resume Examples & Samples

  • Lead team of analysts and SW developers in operation and upgrade of simulator
  • Coordinate with customers to define assumptions, inputs and data needs
  • Experience with modsim, performance analysis and system testing
  • Strong knowledge of SIGINT systems, end to end
63

Modeling Analyst Resume Examples & Samples

  • Support the “Data Scientist” vision of the group by participating in planning and development of analytic projects in response to business needs of functional areas. The areas include Operations functions of Underwriting, HOA, Loss Management as well as cross functional and international support
  • Perform business intelligence reporting tasks with the focus on diagnosing risks and opportunities in business functional areas. Report value stream to define functional metrics for “what matters” and resulting business improvement/actions
  • Develop and perform preliminary exploratory analysis on datasets associated with building advanced statistical models. Ability to work with structured and unstructured data
  • Support the team members in determining requirements, evaluate analytical approaches and create predictive models to optimize decision making for functional areas of support
  • Communicate and document business intelligence tasks, statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers
  • Ensure accuracy of results and analytic methods. Perform regular validation and collaborations of the BI metrics and analytical models
  • Collaborate with peer analysts to ensure the use of models for optimized decision making
  • Work with IT and Data Reporting team on the evaluation of data management
  • Fulfill ad-hoc requests in a timely and efficient manner
  • Bachelor Degree in Business, Finance or related discipline
  • 5+ years’ business analytics and support of business functions or equivalent educational experience
  • Experience with BI metrics and reporting for optimization (Tableau preferred)
  • Experience with logistic regression, time series, forecasting, optimization, and other predictive modeling techniques
  • Hands-on experience working with SAS (base SAS, EG, BI) as well as SAS statistical package
  • Ability to translate business needs into technical requirements
  • Superior analytical, mathematical, and problem solving skills
  • Ability to influence decision makers and drive consensus
  • Strong communication (i.e. oral, written, interpersonal and presentation) skills
  • Master’s Degree in quantitative discipline
  • Familiar with Mortgage Industry
64

Risk Modeling Analyst Resume Examples & Samples

  • Working with departmental as well as bank-wide data sources to access information for analysis, data mining and predictive modeling
  • Completing exploratory analysis on large volumes of structured and unstructured data
  • Developing a variety of supervised and unsupervised machine learning models such as Neural Networks, Decision Forests, Support Vector Machines and Bayesian methods
  • Developing and testing for the predictive models to measure their effectiveness
  • Presenting results to stakeholders, including the application of model to address business challenges
  • Identifying and implementing real data-driven improvements
  • Staying current with machine learning technique and application to advance CIBC’s analytic capabilities
65

Risk Modeling Analyst Resume Examples & Samples

  • Using consultative selling techniques, advises clients on mortgage loan options and other financial products
  • Advises customers on the completion of loan applications
  • NMLS license
  • Knowledge of mortgage loan products (conventional, FHA/VA, construction lending and portfolio programs)
  • Knowledge of mortgage procedures, documentation, and underwriting guidelines
66

Modeling Analyst Resume Examples & Samples

  • Bachelor’s degree in Applied Mathematics, Decision Sciences, Statistics, Computer Science, Finance, Economics or related field
  • Advanced quantitative and qualitative problem-solving skills
  • 1-3 years previous work experience in an analytical or programming role is desired
67

Experienced Product Modeling Analyst Resume Examples & Samples

  • Build complex models to segment customers by risk profile
  • Understand and more accurately predict customer behavior
  • Develop tools to identify potential underwriting fraud
  • Evaluate new sources of data for use in modeling insurance risk
  • Must possess 1-3 years of work experience in an analytical or programming role
  • At least a 3.0 overall GPA
  • Demonstrated experience performing statistical analysis on large, complex datasets
  • Detail-oriented and able to work under deadlines
  • Master’s or other advanced degree is desired
68

Lead-product Modeling Analyst Resume Examples & Samples

  • Train and validate complex statistical models on large data sets
  • Develop and improve models for risk assessment and policyholder behavior
  • Develop and evaluate alternative product designs
  • Automate, validate, and optimize computational performance of analytical tools to support business decisions
  • Interpret and present results of models to all levels of management
  • Handle supervisory responsibilities, including performance reviews, motivation, talent development, and job application evaluation
  • Train others on statistical modeling techniques and methods
  • Bachelor’s degree or higher in Statistics, Mathematics, Predictive Analytics, Data Science, Economics, Operations Research, or related field
  • 5 years’ experience in related field, or 2 years’ experience with Master’s degree
  • Supervisory experience with a track record of successful leadership results
  • Demonstrated ability in statistical analyses, particularly in economic or financial contexts
  • Experience with insurance pricing and underwriting models preferred
  • Familiarity with generalized linear models; regularized regression and/or hierarchical models; decision trees and tree-based ensemble methods; and unsupervised learning techniques
  • Strong skills in R, SAS, or other statistical modeling language; experience with SQL and/or general-purpose programming languages encouraged
69

Catastrophe Modeling Analyst Resume Examples & Samples

  • Providing insurance account data entry, enhancement, coding and modeling support to underwriting and regional catastrophe teams globally
  • Processing submission data files within stipulated time frames by entering them into account modeling systems, translating and coding to model recognizable format(s), and assessing and correcting location addresses and geocoding using Google
  • Perform desktop reviews
  • Geo Code verification & Google Earth aerial imagery
  • Location Determination (grouping of site assets)
  • Valuation Check (Insurance to Value determination)
  • EQ Zone determination/verification
  • Wind Zone determination/verification
  • Flood Zone determination/verification
  • Flood Loss Estimates for exposed locations using proprietary tools
  • Modeling accounts to estimate catastrophe losses from all perils using multiple catastrophe models
  • Providing catastrophe modeling results to support the pricing and underwriting process
  • Modeling one or more different policy structures per account, and multiple options as requested by the underwriter
  • Documenting assumptions and updating data and model dictionaries
  • Individual with a bachelor degree in engineering, preferably within one of the following disciplines (Chemical, Electrical, Civil or Mechanical), who is proficient with MS Office and internet based research
  • Prior experience in insurance data management and account modeling will be a big plus but is not required
  • Knowledge of insurance is desirable, but not essential
  • Must demonstrate oral and written communication skills along with analytical and logical thinking skills
  • Candidate must be organized, self motivated and willing to learn more about the basics of commercial and/or energy insurance, underwriting processes, insurance coverage terms and conditions, and catastrophe modeling for underwriting
70

Quant / Modeling Analyst Resume Examples & Samples

  • One or more years’ experience in quantitative credit risk modeling or model performance monitoring
  • Ph.D. or Master’s degree in economics, finance, mathematics, statistics or other quantitative field
  • Advanced knowledge of statistics/econometrics
  • Working knowledge of SAS or other advanced statistical/econometric analysis software (e.g. R, Python)
  • Critical thinker with business intuition, intellectual curiosity, and ability to execute
  • Results driven with the ability to work independently or in a team environment
  • Demonstrated ability to effectively communicate (verbally and written) analytical results to a diverse audience
  • Ability to use advanced statistical and mathematical software to perform statistical estimation on financial data
  • Financial modeling in mathematical/symbolic terms
  • Ability to analyze complex financial instruments, create spreadsheets and write code to facilitate the analysis
  • The ability to understand generally accepted accounting principles
71

Modeling Analyst Resume Examples & Samples

  • Develop mathematical programming tools to support short, medium and long term optimization of supply chain operations
  • Help the planning and logistics teams in making fullest use of these tools
  • Develop custom models to analyze specific strategic questions faced by the business and assist the business in applying these tools to quantify economic consequences of different options
  • Develop tools that present meaningful results in a concise fashion, and in a manner accessible to a variety of audiences
  • Work with key stakeholders and connect with cross functional groups to foster good relationships to drive continuous improvements in our tools and processes
  • Bachelor’s degree in Engineering, Computer science, Mathematics, Physics or similar quantitative field and previous experience modeling and optimizing supply chain planning and logistics operations or similar work
  • Experience with AIMMS, GAMS, AMPL, OPL or similar algebraic modeling environments for generating and solving mathematical programs, especially Mixed Integer Linear Programs (MIP) using commercial solvers such as CPLEX, Gurobi, or similar
  • Familiarity with one or more numerical computing environments (e.g., MatLab, R, Julia, SciLab, NumPy, etc.)
  • Familiarity with one or more programming languages (e.g., Java, C#, C++, python, etc.)
  • Ability to effectively influence others at all levels of the organization to adopt improved tools and techniques, sometimes without direct authority
  • Excellent communications skills both verbal and written, including executive level presentations
  • Experience with one or more of SAP/APO; LLamasoft Supply Chain Guru , LogicNet plus; JDA Supply Chain Strategist; or similar systems for supply chain optimization
72

Predictive Modeling Analyst Resume Examples & Samples

  • Develop and maintain predictive models using data mining and SPSS statistical tools
  • Validate that data sources meet requirements of the effort and outcomes
  • Analyze data quality identifying improvements and solutions for data gaps
  • Develop a deep understanding and working knowledge of all Ascensus data sources purpose, structure and definitions
  • Regularly use complex data and algorithms
  • Effectively execute CRISP-DM methodology with project teams optimizing predictive model lift
  • Perform complex data analyses, segmentation and profiling of expansive data sources
  • Apply business and predictive modeling expertise to identify underlying trends
  • Work closely with subject matter experts to translate manual data analysis into automated analytics, resulting in faster more meaningful data extraction for users
  • Establish model schedules or invoke real time through workflow and other application integration
  • Maintain and enhance predictive models. Identify and recommend improvements
  • Prepare and deliver presentations detailing results of analytics
  • Provide analytics and model recommendation insight
  • Adhere to and recommend improvements to data governance
  • Advanced analytics: the ability to apply appropriate analytical techniques and translate findings into actionable business insights and recommendations
  • Database technologies: understanding of data warehousing concepts, with the ability to write complex SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data
  • Strong communications skills: both verbal and written, with the ability to explain complex concepts to non-technical audiences
  • A team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization
  • Bachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or economics
  • Solid business acumen with the ability to quickly learn about Ascensus products, services, clients and business considerations. Ability to obtain valuable information and insight through dialog with SMEs
  • Time Management/Prioritization – Ability to manage time with conflicting priorities to ensure all deliverables are met. Responsibility to manage own tasks
  • Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes
  • 3 years of experience at Ascensus, a like business or in data analytics
73

Statistical Modeling Analyst Resume Examples & Samples

  • Minimum 1 year of experience in SAS HPF code development and/or R modeling
  • Must be able to analyze data to determine business implications and make actionable recommendations
  • Ability to communicate effectively through oral presentations and written reports
74

AML Analytics Modeling Analyst Resume Examples & Samples

  • Serve as a developer responsible for the monitoring and optimization of AML/OFAC statistical scenarios and models in support of financial investigative efforts
  • Work to thoroughly document statistical and algorithmic efforts supporting the corporate investigative groups to ensure that US Bank meets regulatory OCC CRAD expectations and Corporate Model Validation standards
  • Work to implement new processes or techniques and/or optimize programs to be as efficient as possible while effectively mitigating risk
  • Professional presentation skills for audiences including but not limited to senior leadership, CAS, regulatory and business partners
  • Ability to work independently given direction from leadership or senior analysts
  • Graduate degree in Mathematics/Statistics/Machine Learning or a similar
  • Ten or more years of experience in an applicable risk management environment
  • Applicable certifications
  • Ability to handle multiple priorities and deadlines effectively and efficiently
75

ALM Modeling Analyst Resume Examples & Samples

  • Own, manage and develop processes associated with periodic Stress Testing (CCAR and DFAST)
  • Contribute to the increased usage of Stress Test processes (increased frequency and usage by the Bank)
  • Own, manage and develop regular monthly Interest Rate Risk (IRR) processes associated with Economic Value of Equity (EVE) and Earnings at Risk (EAR)
  • Implement models and analytical tools used with IRR and other ALM processes
  • Develop a deep understanding of the Bank's balance sheet, individual product profiles and associated risks
  • Work with management to craft strategies in the mitigation of Interest Rate Risk and other risk
  • Demonstrate outstanding quantitative, communication and presentation skills
  • Bachelor’s or Master’s degree in Financial Engineering, Finance, Economics, Accounting, Mathematics or related discipline
  • 1-3 year’s work experience in a financial analysis / modeling capacity is highly preferred
  • Knowledge and understanding of a bank’s balance sheet and individual financial instruments and regulatory requirements
  • CFA / FRM a plus
  • Knowledge of MS Office Suite (emphasis on Excel, Word, PowerPoint and Visio) required
  • Experience with Financial Database Systems. Hyperion and SQL preferred
  • QRM Enterprise Risk Framework experience desired
76

Analytics & Modeling Analyst Resume Examples & Samples

  • Be able to build strong relationship with key contacts
  • Expand knowledge and understanding of the supported entity to be able to offer a view on issue resolution and potential next steps
  • Be proactive in analysis and play a bigger role in shaping discussions and bringing observations to the customer team
  • Responsible for Ad hoc analysis of all HR-HR metrics for aligned/other entities
  • Interact/ coordinate with RAID’s Data & Analytics team and other RAID teams with requests that exceed the team’s scope
  • Understand organizational hierarchy
  • Share best practices on methodologies, trends and modeling with team members working across customer entities
  • Facilitate team work
  • Expert in Excel and Powerpoint
  • Expert in HR Reporting tools
77

Predictive Modeling Analyst Resume Examples & Samples

  • Bachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or business
  • Advanced degree (MS, MBA), with emphasis on quantitative analysis (e.g., statistics, operations research, data mining, artificial intelligence, machine learning) preferred
  • Experience with big data and mining of unstructured data sources
  • Knowledge of 3rd-party data providers (e.g., Experian, Acxiom), publicly available data sources,
  • Analytics work experience in one of Retirement, Annuity, Insurance, Employee Benefits, Investment Management businesses
  • Solid business acumen with the ability to quickly learn about Voya's core businesses (Retirement, Annuity, Insurance, Employee Benefits, Investment Management)
  • Our ideal candidate will have a blend of data analytics skills, financial services business knowledge, and a passion for analytical problem solving
78

Modeling Analyst Resume Examples & Samples

  • Bachelor's degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field OR
  • A Master’s Degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field OR
  • A PhD in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field
  • 4+ years related work experience in statistical analysis and model development. Or
  • If a Master's Degree, 2+ years related experience in statistical model development Or
  • If a Ph.D., 1+ years related experience in statistical model development
  • Advanced knowledge of data analysis tools and industry data sources
  • Advanced knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Advanced knowledge in 2 or more statistical techniques (Generalized linear modeling, Time Series, CART, Decision Trees, Neural Networks, Factor analysis experimental design and hypothesis testing)
  • Experience developing and implementing machine learning algorithms
  • Experience developing simulation models (Anylogic)
  • Experience working within an Agile team environment
  • Graduate degree in a quantitative field
79

Portfolio Modeling Analyst Resume Examples & Samples

  • Bachelor’s Degree in a related field required. Progress toward a professional designation graduate degree, CFA, or ASA preferred
  • 2-4 years of directly-related portfolio modeling experience required
  • Working knowledge of investment theory and terminology and financial accounting concepts
  • Must have the ability to develop complex models and analysis involving interrelated variables. Tasks performed have a longer term impact on the business, i.e. quantifying the impact of credit quality upgrades or downgrades on future reserve levels
  • Solid understanding of MS Suite, with basic working knowledge of Macros (e.g. Visual Basic); relational databases (e.g. MS Access); actuarial models (e.g. GGY AXIS)
  • Strong interpersonal and communication skills, demonstrated ability to work in a team environment and independently when necessary
  • Maintaining high quality work while meeting tight deadlines and handling ongoing pressure to deliver
  • Managing changing priorities and simultaneous projects - time management challenges
  • Ability to recognize and escalate potential issues
  • Handling feedback on the scrutiny of data by Senior Management and clients, frequently called upon to explain the origins of the models
80

Resource Modeling Analyst Resume Examples & Samples

  • Performs geospatial analysis using ArcGIS software and other industry-standard tools to identify turbine locations with maximum energy output and minimal impact to local land use
  • Applies technical knowledge in support of new product development
  • Provides site intelligence and field services, including construction screening, on-site instrumentation audits and shading analyses
  • Experience: 3+ years
  • Master’s - Engineering
81

Senior Resource Modeling Analyst Resume Examples & Samples

  • Reviews on-site meteorological data from various sensing devices
  • Sets up, monitors and analyzes numerical weather models (both meso- and micro-scale) to accurately understand the long-term energy resource across a given area
  • Sets up and executes in-house software and prediction tools to translate the long-term resource into energy production for a wide variety of equipment configurations
  • Performs geospatial analysis using ArcGIS software and other industry-standard tools to identify locations with maximum energy output and minimal impact to local land use
  • Collects and filters operational data
  • Reviews electrical and structural drawings of commercial and/or utility scale wind and/or solar farms
  • Provides investment due diligence and financing support
  • Prepares written reports and presentations for both internal and external customers
  • Travels to project sites to collect data, assists in permitting and community outreach, and participates in industry conferences; travel expectancy is between 5% and 25% of time
82

Quality Modeling Analyst Resume Examples & Samples

  • Development and maintenance of data formats and sources
  • Attribute coding
  • Score calculations
  • Data filter rules
  • File transmission requirements
  • Technical documentation
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or related fields
  • At least 5 years data analytics, modeling development/validation or related experience
  • High degree of experience with analytical tools/programming languages such as SAS, SQL, R, ECL, and/or MS office products-
  • Familiarity with the credit or insurance industry strongly preferred
  • Strong team player, constructive and considerate of others’ inputs with the ability to positively influence others, diplomatic skills, confident speaker even in difficult situations