Quantitative Analytics Resume Samples
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Quantitative Analytics Resume Samples
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MO
M Ondricka
Macey
Ondricka
8099 O'Keefe Manors
New York
NY
+1 (555) 184 3479
8099 O'Keefe Manors
New York
NY
Phone
p
+1 (555) 184 3479
Experience
Experience
Chicago, IL
Quantitative Analytics
Chicago, IL
Kassulke-Stehr
Chicago, IL
Quantitative Analytics
- Performing administrative duties such as training, work organization, communication, and documentation
- Help the team utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and MIS reporting for management to make timely, informed decisions
- Utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for management to make timely, informed decisions
- Analyze data to create and validate financial assumptions and build standardized reporting that is distributed across senior levels of management
- Partner closely with lines of business senior management to provide analytical support, understand relevant data feeds and potential issues
- Implement statistically sound methodology including, but not limited to, upfront and ongoing analysis of transactional activity patterns and distributions to determine initial monitoring parameters and thresholds in our primary and ancillary monitoring platforms
- Contribute to the creation of a collaborative program with a consistent approach to defining thresholds across all lines of business for all AML transaction monitoring models and tools
Philadelphia, PA
Quantitative Analytics Mgr
Philadelphia, PA
Dooley-Hessel
Philadelphia, PA
Quantitative Analytics Mgr
- Demonstrated proficiency in managing analysis teams with tight deadlines and controlled budgets
- Manage model applications, create analysis and interpret model output and conduct research related to loan loss reserve estimation and the credit loss forecast methodology
- Develop credit loss forecast, under various economic scenarios and including those under Dodd-Frank Act Stress Test (DFAST)
- Quickly frame analytic problems/issues, solve them by modeling risk simulation scenarios using statistical analysis, and package results, often under tight deadlines
- Research and analyze key drivers related to loss reserves and credit loss forecast. Manage and execute existing data preparation processes
- Represent the organization as the principal customer contact on contracts and often perform project leadership role. Interact with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines
- Coordinate with third parties and deliver trainings on key topics for the team, including statistics, models and data
present
Philadelphia, PA
Quantitative Analytics Prf A
Philadelphia, PA
Homenick-Treutel
present
Philadelphia, PA
Quantitative Analytics Prf A
present
- Write and update model documentation summarizing results of analyses performed, data research and process updates
- Extract, transform and summarize information from large data sets to inform management decisions
- Execute complex models to produce monthly counterparty exposure estimates
- Become subject matter expert in development of counterparty scorecards, mortgage insurance and counterparty exposure
- Write and update model documentation by working with models’ users and other stakeholders
- Work with Model Validation and Internal Audit during evaluations of model design, use and implementation
- Collaborate with team members and interact across organizational lines to achieve business objectives
Education
Education
Bachelor’s Degree in Quantitative Discipline Such
Bachelor’s Degree in Quantitative Discipline Such
Quinnipiac University
Bachelor’s Degree in Quantitative Discipline Such
Skills
Skills
- Analyze data and create and validate financial assumptions that feed into volume growth and profitability models
- Document all analysis in an organized, clear manner
- Execute, where appropriate, hypothesis testing, various regression analysis techniques, clustering analysis, and tests for activity and behavior variances
- Use sophisticated quantitative techniques to analyze data distributions
- Execute appropriate statistical or mathematical tests to recommend threshold implementation decisions
- Partner closely with lines of business senior management to provide analytical support, understand relevant data feeds and potential issues
- Develop expertise in JPMC products, services and clients. Know the relevant corporate systems and data sources and where/how to gather customer and transaction data
- Contribute to the creation of a collaborative program with a consistent approach to defining thresholds across all lines of business for all AML transaction monitoring models and tools
- Help the team utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and MIS reporting for management to make timely, informed decisions
- Implement statistically sound methodology including, but not limited to, upfront and ongoing analysis of transactional activity patterns and distributions to determine initial monitoring parameters and thresholds in our primary and ancillary monitoring platforms
15 Quantitative Analytics resume templates
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1
Quantitative Analytics Resume Examples & Samples
- Implement statistically sound methodology including, but not limited to, upfront and ongoing analysis of transactional activity patterns and distributions to determine initial monitoring parameters and thresholds in our primary and ancillary monitoring platforms
- Contribute to the creation of a collaborative program with a consistent approach to defining thresholds across all lines of business for all AML transaction monitoring models and tools
- Execute, where appropriate, hypothesis testing, various regression analysis techniques, clustering analysis, and tests for activity and behavior variances
- Use sophisticated quantitative techniques to analyze data distributions
- Execute appropriate statistical or mathematical tests to recommend threshold implementation decisions
- Produce advanced dashboard reporting to identify changes in activity levels or peer group performance thatadhere to a standardized analysis/project methodology capturing: business rationale; initiative scoping and analysis; prioritization;requirements gathering; design/build; design/code review; testing and validation; implementation; and continuous improvement
- Partner closely with lines of business senior management to provide analytical support, understand relevant data feeds and potential issues
- Develop expertise in JPMC products, services and clients. Know the relevant corporate systems and data sources and where/how to gather customer and transaction data
- Document all analysis in an organized, clear manner
- Degree in Mathematics, Statistics, Decision Sciences, Quantitative Methods and Modeling, Econometrics, with a solid background in statistics. Masters or Ph.D. a plus but not necessary
- Experience with a large banking institution and/or BSA/AML regulations, preferably (5 years). Knowledge of banking product and service offerings
- Proven experience with statistical tools (e.g., SAS, STATA, SPSS, R) and data mining tools (e.g., Business Objects, SAS Enterprise Miner, Brio) and applying them to business decisions
- Preferred understanding of key AML monitoring systems including: Fortent/Actimize/Searchspace, Mantas or SONAR AML
- Ability to handle and/or lead multiple projects/work streams with minimal oversight. Flexibility to adapt to changing priorities to meet business needs
- Proven record to contribute as a strong team player ina fast-paced, deadline-driven, diverse environment
2
Compliance Tech-quantitative Analytics Resume Examples & Samples
- Implementing AML monitoring logic to aggregate transaction level data for the team to conduct statistical analytics
- Designing and standardizing user define schemas/tables/views/procedures
- Constructing dashboards to visualize data in a visualization tool (such as Spotfire)
- Managing data accesses and controls
- Building up analytic infrastructure and standardizing technical logics within QAT team
- Guiding the team on various data sources for various analytic usages
- Degree in Computer Science, Engineering, Statistics, Mathematics, MBA or comparable work experience required
- Demonstrated attention to detail, great quality of work, ability to produce clear, concise written work products
- Strong (3+ years) experience using SQL for data manipulation; Oracle PL/SQL and performance tuning
- Strong (3+ years) experience on database architecture and design
- Deep knowledge of Data Warehouse and Relational Database structures
- Preferred experience using visualization tools like Spotfire or Tableau
- Proven record to contribute as a strong team player in a fast-paced, diverse environment
- Ability to collaborate with individuals across business and/or functional lines
- Experience with a large banking institution and/or BSA/AML regulations a plus, 1+ years preferred
- Experience with Mantas or AML transaction monitoring tools preferred
3
Quantitative Analytics Resume Examples & Samples
- Produce advanced dashboard reporting to identify changes in activity levels or peer group performance that adhere to a standardized analysis/project methodology capturing: business rationale; initiative scoping and analysis; prioritization; requirements gathering; design/build; design/code review; testing and validation; implementation; and continuous improvement
- Experience with a large banking institution and/or BSA/AML regulations, preferably (5+ years). Knowledge of banking product and service offerings
- Proven record to contribute as a strong team player in a fast-paced, deadline-driven, diverse environment
4
Quantitative Analytics Model Development Associate Resume Examples & Samples
- Roles at this level typically require a university or college degree; 2+ years experience with bachelor's degree, Master's or Ph.D. with no experience. Graduate Degree in Mathematics, Computational Finance or related field Preferred. Ph.D. is strongly preferred although a Master’s degree may suffice for candidates with sound experience
- Excellent working or research knowledge of stochastic calculus, asset valuation techniques, interest rate derivatives, and term structure modeling
- Solid computer and programming background with ability to implement complex models efficiently
- Demonstrated project management skills and the ability to work on multiple projects on a concurrent basis and be able to meet deadlines
- Ability to work both independently with minimal guidance and as part of a group
5
Quantitative Analytics / Data Science Resume Examples & Samples
- Strong background in algorithms, mathematics and/or statistics
- Interpersonal and communication skills
- Relevant training in Computer Science, Mathematics and/or Statistics
- Expertise in any of: machine learning, Bayesian inference, time series analysis, forecasting, optimization
6
Financial Quantitative Analytics Associate Resume Examples & Samples
- Participate in the development of the system to validate results of calculators used to forecast firmwide capital stress testing components
- Perform detailed analysis to ensure that the capital calculation implementation is per specifications
- Work with business and technology groups to define use cases and create scripts to independently test calculators
- Participate in hands-on review of tools, documentation, process, and data to assess business requirements and conceptual and financial soundness of the implementations, as well as compliance with rules and best practices
- Partner with internal and/or external Project Management Office resources to enhance end-to-end forecasting process and achieve continuous improvements
- Strong analytical and problem solving skills. Financial testing/data analysis experience preferred
- Proficient in programming/scripting (e.g. Python)
- Knowledge of statistical modeling software (e.g. R, SAS or Matlab). Ability to analyze and test results from statistical models
- Bachelors degree in Finance, Information Systems or related quantitative field is required. Advanced degree preferred. Pursuing CFA or other professional certification, a plus
7
Manager Quantitative Analytics Resume Examples & Samples
- Methodology for Wholesale and Retail Credit Stress Testing and loss forecast, including research, model development, implementation, and maintenance, data querying and mining, and risk aggregation
- Methodological support to Stress testing programs including the underlining infrastructure and related regulatory requests
- Methodology for Stress Testing, Loss Forecasting and Risk Aggregation
- Under the direction of the Director, Risk Capital, Stress Testing, and Credit Loss Forecasting Methodology
- Graduate degree in a quantitative discipline MSc, MMF or Ph.D. (Mathematics, Statistics, Finance, Economics/Econometrics, Physics, Engineering, or equivalent). A relevant professional designation (e.g. FRM, CFA) may also be a plus
- Four or more years of relevant business experience in credit and/or market risk, risk management (Basel II, III, Economic & Regulatory capital, Stress Testing)
- In-depth knowledge of lending portfolios and credit risk modeling including Basel parameters estimation (PD, LGD, EAD, correlation)
- Proficiency in at least three of the following statistical/numerical software: Matlab, SAS, VBA, SQL, and R
- Proficiency in Microsoft business tools including Excel, power point, and MS Access
- Monte Carlo simulation and bootstrapping techniques,
- Capacity to blend quantitative/theoretical thinking to resolve most technical and conceptually ambiguous issues/situations with sound business judgement
- Ability to work both independently and as part of cross-functional teams
8
Senior Manager Quantitative Analytics Resume Examples & Samples
- Lead a team of quantitative professionals responsible for the initial on ongoing validation of Market Risk VaR models on both banking and Trading Book
- Recommend the approval of the models or other corrective actions based on the independent vetting and validation
- Lead and support the team in
- Prepare initial/ongoing validation reports outlining model assumptions, analytical methodologies and assessments, computational methods and test results
- Coach and support direct reports in completing their validation projects in a timely manner
- Ensure that performance objective are set for all staff and that performance feedback is provided on a regular basis
- Develop/implement validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner
- Maintain full professional knowledge of techniques and developments in the field of market Risk VaR Models, FRTB framework as well as Quantitative Analysis, and share knowledge with business partners and senior management
- Work effectively with internal model development group, Audit, regulators and other internal partners to ensure models meet required Bank standard for use
- Ability to manage a small team of quantitative professional and meet deadlines as well as good time management skills with minimal supervision
- Proficient in relevant programming languages such as Matlab, VBA, R C/C++
- Industry experience (with at least 5-6 years of experience) in model development or validation within a similar role is expected
- Excellent ability to write/review comprehensive technical documents is required
- Excellent quantitative skills with background in one of the following areas: mathematics, statistics, econometrics, actuarial sciences, physics, engineering, mathematical finance
- Fast learner who grasps complex concepts and techniques quickly and works independently under tight deadlines
9
Quantitative Analytics Developer Resume Examples & Samples
- Strong development skills, C++ experience preferred
- Scala or other functional language, Java is a plus
- Experience in developing quant model libraries is a plus
- Experience with version control and build and test environments is a plus
10
Manager Quantitative Analytics & Methodology Resume Examples & Samples
- Develop of platforms, data bases, tools, and processes to oversee and manage counterparty credit risk measures
- Perform research into new methodologies and industry best practices and work with other teams in Market Risk Measurement to enhance approaches and models
- Support the bank’s IMM and related processes for the bank’s entire derivative portfolio
- Perform quantitative impact studies for internal and external stakeholders as needed
- Collaborate with other groups in Risk Management, Financial Engineering, Finance and various business lines
- Interest in research into new methodologies with possible research background in a quantitative discipline
- Knowledge of finance, derivative products, and Counterparty Credit Risk measures
- Experience in software development (2 years minimum) with exposure to Python and / or C++
- Experience in Unix shell scripting or other scripting languages
- Experience in a relational database design and application development with Java and SQL
11
Analyst, Quantitative Analytics Resume Examples & Samples
- Serve as a quantitative research analyst working with the FINRA staff in building sophisticated models, determining proper empirical methodology, organizing data collection, writing unique programs, preparing written reports, and summarizing the results of analytic studies in formal and informal presentations
- Design and develop predictive models and risk analytics utilizing data collected by FINRA from its members
- Participate in examinations of broker-dealers, conducting interviews of compliance professionals and quantitative/modeling experts at the firms, designing document requests to elicit information about registrant’s products and strategies and supporting the enforcement staff in investigating and litigating cases arising out of exam referrals in the above areas
- Work with the Business Units to understand and build business requirements into models
- Conduct research in areas such as the analysis of new financial instruments and strategies, options, and derivatives which involves the application of financial engineering methodologies and employment of financial theory and applied mathematics, as well as computation and the practice of programming
- Analyze large volumes of financial data from different instruments and sources for back-testing and validation of models, algorithms, and strategies
- Required: Candidate must possess at least an undergraduate degree in: finance, engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field. Preferred: Graduate degree in: financial engineering, computational or mathematical finance, computer science, statistics or related field. Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics on noisy data. Background in text analytics, news aggregation and natural language processing
12
Quantitative Analytics & Model Development Consultant Senior Resume Examples & Samples
- Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
- Knowledge of and ability to plan, implement and manage testing strategies, policies and practices that assure the delivery of high quality applications
- Knowledge of and ability to use numerical methods to develop statistical models for devising trading strategies
13
Quantitative Analytics Mgr Resume Examples & Samples
- Manage model applications, create analysis and interpret model output and conduct research related to loan loss reserve estimation and the credit loss forecast methodology
- Develop credit loss forecast, under various economic scenarios and including those under Dodd-Frank Act Stress Test (DFAST)
- Quickly frame analytic problems/issues, solve them by modeling risk simulation scenarios using statistical analysis, and package results, often under tight deadlines
- Independently develop innovative, thorough and practicable resolutions to an extensive range of complicated problems
- Represent the organization as the principal customer contact on contracts and often perform project leadership role. Interact with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines
- PhD in Economics or Statistics or a directly related quantitative field
- OR MS Finance, Computational Finance, Economics, Mathematics, Physics, Statistics or a directly related quantitative field in Financial Engineering, Economics, Statistics, Quantitative Finance, or a directly related quantitative field with at least 5 years of related post-graduate work experience in quantitative finance or risk management
- Working knowledge of corporate risk management policies and procedures
- Ability to work effectively with continuous change and short deadlines
14
Quantitative Analytics Mgr Resume Examples & Samples
- Detailed review of mortgage prepayment models, mortgage default model of interest rate models, term structure models, derivative pricing models, or valuation models for residential mortgages and structured products
- Monitoring and reporting on model performance
- Providing assessment of model risks
- Working with model developers and users
- Performing ad hoc analyses for the credit and market risk management groups
- Assess model risks by performing detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means
- Make expert recommendations to Senior Management about proposed new models or model changes, and advise them on quantitative and theoretical issues
- Independently determine and develop approach to solutions for an extensive range of complicated problems
- PhD in Finance, Economics (preferably Micro or Econometrics), Computational Finance, Economics, Mathematics, Physics, Statistics or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance or risk management
- OR MS Finance, Computational Finance, Economics, Mathematics, Physics, Statistics or a directly related quantitative field in Financial Engineering, Economics, Statistics, Quantitative Finance, or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance or risk management
- Demonstrated knowledge of econometric or statistical modelling
- Experience with any of stochastic calculus, financial engineering, quantitative programming, or derivative pricing techniques
- Strong analytical skills with orientation to detail
- Demonstrated knowledge of development and/or validation of and one or more of, prepayment models, default models or valuation models, term structure models, or economic capital models. related to mortgages
- Experience with stochastic calculus, and knowledge of mortgage analytics
- Ability to program in one or more of SAS, R, C++, MatLab, Python
15
Quantitative Analytics Prf Resume Examples & Samples
- Write programs to clean and analyze large volumes of structured and unstructured data
- Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, performing economic tests and stress tests to validate the model forecast results
- Advanced degree in a quantitative discipline (statistics, computer science, mathematics, physics, engineering, econometrics etc.)
- At least one year of experience in data science or model development
- Strong programming skills in Python, R, SAS and SQL
- Experience with programming language such as R, Python, Matlab, VBA, Java and C++
16
Quantitative Analytics Mgr Resume Examples & Samples
- Ability to perform complex financial analysis, calculations, and systems tasks with a high degree of accuracy and timeliness
- Capability to develop and estimate econometric models including but not limited to linear regressions
- Strong presentation and communication skills to convey complex analytics effectively
- At least 8-10 years of related experience and 2+ years of Management experience
- College degree in Finance, Economics, or Quantitative discipline
- Advanced Degree in Finance, Economics, or Quantitative discipline is preferred
17
Manager of Financial & Quantitative Analytics Resume Examples & Samples
- Lead the development and monitoring of key systems analytics information including operational, financial, and historical metrics, healthcare data patterns, claims utilization, provider utilization, and cost and reimbursement patterns to improve the functioning of Risk Adjustment processes and operation
- Consult with users, management, vendors and other stakeholders to assess analytic needs and system requirements, and manage development efforts of custom TSQL queries, statistical models, and financial and clinical reports
- Provide expertise regarding relevant healthcare data and functioning of managed care participants (payers, HMOs, PPOs, providers, and patients), managed care claims, payment operations, and managed care benefit systems including knowledge of Medicare and Medicaid, to ensure appropriate knowledge level of employees and the ability to deliver efficient financial and custom analytics
- Serve as an expert resource to develop, prototype and implement analytical and statistical models employing statistical stratification, sampling and cohort driven data modeling for client requirements designed to help clients make business decisions
- Liaise with senior executives, product managers, client service leads, and business development team to review market research and to include clinical and financial reporting and analytics in presentations to support closing of sales
- Present results of analytic tools, including financial analysis and healthcare data analysis, to clients and internal resources
- Maintain expertise in Healthcare Risk Adjustment for Medicare, Medicaid and Commercial populations
- Keep abreast of industry regulation and requirement changes and lead implementation of required quantitative and financial analytics; and
- Provide quantitative analytics to product management and operations that may drive product enhancement, improvement and operational efficiency
- Bachelor's Degree or equivalent experience; Master’s degree preferred
- 7-10 years in an analytic function
- Strong technical skills with proficiency in SQL
- Experience building report dashboards, customer cohorts, predictive models, etc. using MS Excel
- Business acumen and ability to blend client and product needs with technical analysis
- Leadership skills building and mentoring a team; and
- Solid writing and communications skills including the ability to present complex analytical concepts to internal and external users
18
Quantitative Analytics Prf Resume Examples & Samples
- Analytical and execution support for management of Multifamily retained portfolio market risk, including interest rate hedging and spread hedging activities
- Support the research, development, facilitation and completion of special projects and transactions for Multifamily Investment & Advisory
- Support other portfolio activities and reporting
- Two to four years of relevant experience
- Ability to independently analyze and resolve data problems
- Ability to present/communicate analysis findings
- Possess a strong action-oriented approach
- Clear understanding of mortgage products and mortgage finance in general
- Basic concepts of interest rate risk, such as duration, convexity, DV01, Key Rate Duration, etc
- Basic concept of spread risk for structured products
- Proficiency in Microsoft Excel and SQL
- Knowledge and experience with hedging using derivatives
- Experience with return attribution analysis and reporting
- Analytical skills and creativity to develop and consider alternative options for fulfilling requirements
- Ability to work accurately and efficiently in an environment with changing priorities and tight deadlines
- Strong statistical and quantitative skills
- Curiosity and ability to develop expertise in new systems quickly
- Ability to effectively communicate up, down and across the company to ensure issues are identified, resolved and communicated in a timely manner
- Expertise in Microsoft Excel and other analytical tools
- Work towards advanced degree or professional designations (such as CFA, FRM, etc)
19
Quantitative Analytics Dir Resume Examples & Samples
- Reviewing analytical methods and quantitative models for market and credit risks of new and existing financial and mortgage products/portfolio
- Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
- Acting as the Model Risk lead for Valuation Models
- Developing validation reports based on rigorous theoretical and analytical reviews of models
- Acting as an advisor to subordinates to meet schedules and/or resolve technical problems as well as developing and administering performance requirements
- Managing the coordination of the activities of a section or department. Often must lead a cooperative effort among members of a project team
- At least 8 years of post-doctoral modeling related work experience and PhD in Economics, Finance, Statistics, Engineering, or a directly related quantitative field OR MS with at least 10 years of related post-graduate work experience
- Programming experience with Matlab or C++
- Experience working with interest rate and derivative valuation
- Exceptional quantitative, empirical analysis, and research skills
- Programming experience in VBA
- Interest rate curve construction methodology
20
Analyst, Financial & Quantitative Analytics Resume Examples & Samples
- Design, execute and perform complex clinical and financial analytics as needed by clients and executive management, utilizing MS office suite and SQL database technologies
- Design, code, test and debug custom SQL queries and generate financial, utilization and cost reports using Microsoft SQL queries, SQL Server Management Studio and SQL Server Reporting Services to arrive at accurate and timely solutions
- Assist with the preparation of documents and presentation materials describing analytic methods, observations and findings of analytics, and/or business logic flow employing MS office suite (Excel, Word and PowerPoint); and
- Willing to learn new technologies to help the Risk Adjustment Quantitative analytics team achieve new goals
- Master’s degree in computer science/information technology/ engineering, or mathematics with at least 1 year of full time experience Or BS degree in similar fields with at least 3 years of full time experience in an analytic and data management or Software development environment required
- Experience in a health care or managed care setting is a plus
- Must be able to work independently and in small work groups with staff members and managers having similar or disparate interests and/or priorities
- Minimum 1 year of experience developing database driven projects using T-SQL on SQL Server
- Minimum 1 years of experience or educational training in statistical stratification, sampling and cohort driven data modeling and analysis
- Superior problem solving, analytical skills and an ability to analyze large volumes of data and identify trends and anomalies
- Strong problem solving, analysis, design, coding and testing skills required. Knowledge of SDLC methodologies and agile methodologies is preferred; and
- Excellent analytical skills and the ability to understand the Company’s products and process
21
Quantitative Analytics Mgr Resume Examples & Samples
- Assess model risks by performing detailed model validation reviews, evaluating performance thresholds, researching model approaches, creating alternative models and other means
- Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends
- Acts as an advisor to subordinates to meet schedules and/or resolve technical problems. Often must lead a cooperative effort among members of a project team
- Provide assessments of model risks
- Follow Model governance requirements and monitor compliance with model governance requirements
- PhD in Finance, Economics, Statistics, Quantitative Finance, or a related quantitative field such as Physics, Mathematics or Engineering with at least 3 years of post-doctoral experience in interest rate modeling, valuation models, and derivatives pricing
- OR MS in Financial Engineering, Economics, Statistics, Quantitative Finance, or a directly related quantitative field with at least 5 years of related post-graduate work experience in quantitative finance or risk management
- Experience with mortgage analytics
- Strong statistical econometric modeling skills
22
Quantitative Analytics Prf A Resume Examples & Samples
- Support counterparty credit risk modeling and analytics through data preparation, complex data and statistical analysis, and model output assessment. Develop, execute and maintain advanced analytics or models to quantify, simulate and measure counterparty exposure related to Risk Transfer
- Design and implement processes and analytical tools to proactively identify, quantify and monitor risks
- Extract, transform and summarize information from large data sets to inform management decisions
- Write and update model documentation by working with models’ users and other stakeholders
- Implement enhancements or changes to models, working with IT, as appropriate
- Work with Model Validation and Internal Audit during evaluations of model design, use and implementation
- Become subject matter expert in Risk Transfer, mortgage insurance and counterparty exposure
- Collaborate with team members and interact across organizational lines to achieve business objectives
- Master’s degree in quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, Finance, Information Systems or Physics
- Minimum of two years of relevant experience in an area related to risk analysis, focusing on statistics and data analytics
- Strong programming skills in a statistical programming language such as VBA, SAS, R or Matlab and database skills such as SQL
- Programming experience with SAS, R and Excel Experience conducting complex analysis, reporting and modeling
23
Quantitative Analytics Prf A Resume Examples & Samples
- Work effectively in a team conducting economic and statistical analyses to support the development of credit risk models. Conduct data preparation, complex data and statistical analysis, and model output assessments
- Design and implement processes and analytical tools to proactively identify, quantify and monitor model risks
- Extract, transform and summarize information from large structured and unstructured data sets to inform management decisions. Research sources and tools to retrieve and display data
- Write and update model documentation summarizing results of analyses performed, data research and process updates
- Minimum of two years of relevant experience in an area related to credit risk or data analytics
- Strong programming skills in a statistical programming language such as SAS, R, Python, C++ or Matlab and database skills such as SQL
- Comfortable working with large data sets
- Experience working with mortgage or credit risk models
24
Quantitative Analytics Dir Resume Examples & Samples
- Research and publish evolving needs of the Affordable lending and Access to Credit markets with a focus on rural and underserved markets
- Support analytics for new offerings, programs and services
- Plan, execute, and document analysis of complex financial models
- May provide portfolio risk assessments based on findings
- May provide modeling and analytical assistance to a line of business or product area, functioning as day-to-day technical expert
- Evaluate and manage risks associated with the company's models, including models of defaults, security valuation, prepayments, loan scoring and others
- Provide innovative, thorough and practical solutions to an extensive range of demanding problems, including analyses of relative value
- Receives assignments in the form of objectives and determines how to use resources to meet schedules and goals
- Provides guidance to subordinates within the latitude of established company policies
- Recommends changes to policies and establishes procedures that affect immediate organization's operation
- Acts as an advisor to subordinates to meet schedules and/or resolve technical problems
- Develops and administers schedules, performance requirements; may have budget responsibilities
- Often must lead a cooperative effort among members of a project team
- Manages the coordination of the activities of a section or department
- Bachelor's degree in Finance, Economics, or Quantitative discipline
- 10-12 years of related work experience
- 2+ years of Management experience
- Proficiency with SAS, Stata, R and/or similar analytical software or programming experience is required
- Graduate degree or advanced studies in Finance, Economics, or Quantitative discipline
25
Quantitative Analytics Management Trainee Resume Examples & Samples
- Develop deep understanding of critical data so that it can be used to support fundamental analysis of energy markets
- Work and learn with senior analysts and trading teams to deliver quick analyses and to rapidly build prototype analytical tools to analyze trading opportunities
- Learn from analyst teams how best to develop new supply/demand models to support trading
- Learn with Analytics team how to bring connected global macro outlook to the analysis
- Support Market Risk team in the evaluation of risk/reward in the ferrous metals trading business. This is a great role for learning up-close about the trading of commodities and the use of price risk management techniques
- Work on business projects to translate summarized business requirements for insights. Prioritise and deliver the fact-based analysis right with data. Facilitate to bring new insights to the business on decision making
- Good Bachelor/Masters degree with discipline in Econometrics, Economics, Engineering, Computer Science, Mathematics/Statistics and Quantitative/Applied Finance
- Advanced Excel skills, VBA and/or other programming languages, Matlab, SQL
- Excellent quantitative and analytical facility with commercial acumen to provide solutions to business challenges
- Demonstrate strong interest of commodity/financial markets
- Detail-focused, process-oriented and possess excellent data management ability
- Able to operate in a complex trading environment and manage conflicting demands
- Adaptable and well-rounded individual, team-player and able to lead and influence
- Strong communication skills - written, oral, persuasion. Ability to influence constructively is a key success factor
26
Quantitative Analytics Prf Resume Examples & Samples
- Writing programs to clean and analyze large volumes of structured and unstructured data
- Using different software languages to build tools that will be used to improve models and fast prototype for business decisions about the mortgages in Freddie Mac’s portfolio
- At least one year of experience in model development or data science
27
Quantitative Analytics Mgr Resume Examples & Samples
- Accredited Master’s degree (or MBA) in quantitative discipline such as Economics, Finance, Statistics, Mathematics, Computer Science, Engineering, or Physics with 7+ years of work experience, or PhD in quantitative fields with 4+ years of experience
- At least three years of previous commercial credit risk modeling developing probability of default (PD), Loss Given Default (LGD), and Exposure at default (EAD) models, building counterparty Scorecards or DFAST/CCAR commercial risk models
- Counterparty Credit Risk Modeling and DFAST modeling for mortgages
- Programming experience with SAS and SQL, and solid experience conducting complex analysis in Excel, reporting and modeling
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Quantitative Analytics Dir Resume Examples & Samples
- Creating an executable Model Risk Appetite framework for the organization
- Managing team to conduct peer reviews within EMR for enhancement and consistency of reviews
- Develop and maintain corporate model risk policy and model risk standards
- Develop procedures for enhancing and maintaining effective review and challenge
- Help drive efficiency and consistency in validation through development of templates around validation lifecycle and working with Model Review Tool
- Work with model development teams to enhance model development and documentation
- Assess work from developers and reviewers to continually improve model standards and validation procedures
- Keep up with industry standards and regulations on Model Risk
- Manage team to review collateral models on home price valuation that are used extensively by Freddie and its customers
- Minimum 10+ years of experience in model development or model management in areas such as credit risk or enterprise risk
- Demonstrated experience in understanding development, implementation, review and governance in model life cycle
- Ability to interpret regulatory guidelines and implement them in practice
- Strong verbal and written communications
- Ability to work with and influence senior management and peers
- Strong statistical and econometric skills
- Good knowledge of macro-economics and forecasting
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Quantitative Analytics Prf A Resume Examples & Samples
- Support counterparty credit risk modeling and analytics through data preparation, complex data and statistical analysis, and model output assessment. Develop, execute and maintain advanced analytics or models to quantify, simulate and measure counterparty exposure
- Become subject matter expert in development of counterparty scorecards, mortgage insurance and counterparty exposure
- Accredited Masters or MBA degree in quantitative discipline such as Economics, Finance, Statistics, Mathematics, Computer Science, Information Systems or Physics
- Strong programming skills in a statistical programming language such as SAS, VBA, R, Python and/or Matlab and database skills such as SQL
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Managing Consultant, Quantitative Analytics Resume Examples & Samples
- Navigate the complex environment of working within the largest financial services institutions in the world
- Manage model risk across the model lifecycle including model development, validation, performance evaluation and annual model reviews
- Present model validation findings to senior management and supervisory authorities
- Provide effective challenge to model assumptions, mathematical formulation, and implementation
- Assess and quantify model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls
- Contribute to strategic, cross-functional initiatives within MRM organization
- At least 3 years experience of project management
- At least 3 years experience building and presenting effective presentations to a wide array of audiences
- At least 7 years of experience in model development and/or model risk management
- At least 5 years experience with quantitative and analytics reporting along with the ability to derive patterns, trends and insights and perform/risk reward trade-off analysis
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Senior Consultant, Quantitative Analytics Resume Examples & Samples
- Support Model Risk Manager to develop, review and validate new and existing Risk models
- Help manage Model Risk across the model lifecycle including model validation, performance evaluations and annual model review
- Challenge and continue to improve Model Risk Management Guidance on modeling approaches and model performance testing
- Contribute to strategic, cross functional initiatives within Model Risk Management organization
- Effective cross-functional projects, resources and stakeholder management; effectively engage within internal audit and external regulators
- At least 3 years of experience in model development and/or model risk management
- At least 2 years experience with Python SAS/SQL, R or C programming in UNIX
- At least 3 years experience working with Microsoft Office suite
- At least 3 years experience with quantitative and analytics reporting along with the ability to derive patterns, trends and insights and perform/risk reward trade-off analysis
- At least 5 years of experience in model development and/or model risk management
- At least 4 years experience with Python SAS/SQL, R or C programming in UNIX
- At least 5 years experience working with Microsoft Office suite
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Quantitative Analytics Assoc Resume Examples & Samples
- Developing and validating loss forecasting models, conducting researches on enhancements to the existing models, applying industry best practices and techniques to meet various business needs
- Using techniques from statistics, machine learning, and other data sciences to estimate predictive models from numeric, categorical, textual, geographic, and other data features
- Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical expert
- Bachelor's degree in a quantitative discipline (statistics, computer science, mathematics, physics, engineering, econometrics etc.)
- 0-2 years of experience in model development or data science
- Graduate degree or advanced studies
- Experience with programming language such as Python, R, Matlab, VBA, Java and C++
- Experience working with mortgage or consumer credit risk models
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Quantitative Analytics Prf A Resume Examples & Samples
- Apply Data Mining/Machine Learning algorithms to solve business problems
- Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems
- Design and support effective storage and retrieval of Big Data
- Master’s degree in Computer Science,Statistics, Mathematics,Information Systems or equivalent
- At least 2 years of experience in machine learning OR equivalent Master’s degree
- Familiarity with Data Mining, Machine Learning and related algorithms
- 1+ year experience with SAS/SQL
- Good programming skills in one of the languages: Java, Python, Scala, C++., C#
- Experience with graph frameworks, such as Neo4j, GraphX, Giraph, Hama, GraphLab,
- Experience in quantitative finance
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Quantitative Analytics Resume Examples & Samples
- Responsible for data acquisition, aggregation, creation of data solutions and quantitative analysis to analyze trends and gain business insights
- Will drive analysis and reporting on activities and results of other players in the lending industry to determine market trends and initiatives
- Inform management of emerging trends and tactics within the competitive landscape and make recommendation to keep Springleaf on the leading edge
- Find and procure sources of data which provide insight to the competitive landscape from aggregators, public filings, trust reporting and public records sites
- Analyze data to create and validate financial assumptions and build standardized reporting that is distributed across senior levels of management
- Create trended reporting with views to marketing volumes, portfolio growth, product segmentation, profitability, pricing, cash flows and loan performance
- Creation of financial models to approximate and forecast competitive portfolio metrics
- Drill down into the data to find trends and outliers to signal change in competitive direction
- Communicate results in a clear concise manner
- Find creative ways to assess the marketplace and recommend ways that Springleaf can best position itself to gain market share
- 4-year college degree (OR related work experience) in a quantitative discipline such as Economics, Business Management or Computer Science is preferred
- Knowledge of the retail / consumer lending industry with Competitive Intelligence experience being a bonus
- Adept at reading and interpreting financial statements
- 2+ years’ experience in data-driven problem solving
- Working Knowledge of data query tools such as SAS and/or SQL
- Experience using Microsoft Office applications
- Self-motivated and creative thinker
- Strong written and oral communication skills necessary
- Ability to thrive in a dynamic, entrepreneurial and fast-paced environment
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Quantitative Analytics Resume Examples & Samples
- Help the team utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and MIS reporting for management to make timely, informed decisions
- Analyze data and create and validate financial assumptions that feed into volume growth and profitability models
- Draw conclusions by making recommendations for developing or modifying existing strategies
- Incorporate financial models and investment decisioning into marketing programs
- Continually enhance standard reports
- Develop junior analysts abilities to write queries, pull data, assemble reporting and subsequently drive new strategies
- 5 years’ experience in complex, data-driven problem solving including product pricing and creation of
- Minimum of a 4-year college degree (OR related work experience) in a quantitative discipline such as
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Quantitative Analytics Prf Resume Examples & Samples
- Developing and conduct analytical methods and models that support Freddie Mac’s legal department’s fair lending activities
- Learning and understanding Freddie Mac internal models
- Providing resolutions to an extensive range of complicated problems
- Preparing reports using Excel, SAS, SPlus and other programming languages
- Creating presentation materials and documentation to effectively communicate quantitative findings and fair lending implications
- Communicating results and findings to stakeholders
- At least one year of previous modeling related research or internships, in addition to significant coursework and research in quantitative fields
- MS in Economics, Statistics, or a directly related quantitative field or BS with at least 3 years of related post-graduate work experience
- Strong programming skills in a statistical programming language
- Programming experience with SAS and SPlus or R desirable
- Good communication, interpersonal, and leadership skills
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Quantitative Analytics Prf A Resume Examples & Samples
- Support counterparty credit risk analytics through data preparation, complex data and statistical analysis, and model output assessment
- Develop, execute and maintain advanced analytics to quantify, simulate and measure counterparty exposure related to Risk Transfer, including Mortgage Insurance and Agency Credit Insurance Structure (ACIS)
- Execute complex models to produce monthly counterparty exposure estimates
- Acquire deep understanding of upstream models, model uses, and model outputs
- Collaborate with counterparty modelers to drive model changes and model implementation
- Exceptional quantitative and empirical analysis skills
- Programming experience with SAS, R and Excel Experience conducting complex analysis and reporting
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Quantitative Analytics Mgr Resume Examples & Samples
- Conducting empirical data analysis on the multifamily markets and historic mortgage performances
- Developing analytical approaches/models that measure credit risk and economic capital in multifamily debt investments and commercial mortgage products
- Leveraging quantitative abilities – both data management and statistical analytics – to provide analytical support to the multifamily mortgage business
- Working under normal direction, independently determining and developing analytical tools
- PhD in Economics, Statistics, or a directly related quantitative field and at least 3 years of previous data analysis related work, in addition to significant coursework and research in quantitative fields
- People management experience in the data analytics or modeling field
- Strong programming skills in one or more statistical software, such as SAS, R, Matlab, etc
- Experience working with large data sets and relational databases
- Experience with consumer credit risk models, i.e. mortgage, credit card, automotive, or other consumer lending models
- Knowledge and experience in fixed income analytics and secondary mortgage markets
- Sound real estate finance and economics experience and background
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Quantitative Analytics Resume Examples & Samples
- Utilize analytic tools (i.e. Unix, SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for management to make timely, informed decisions
- Analyze data and create and validate assumptions that feed into volume growth and profitability strategies
- Incorporate response models and underwriting models into marketing programs
- Continually enhance existing scorecards
- 3 years’ experience in complex, data-driven problem solving including product pricing and creation of financial profitability models
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Quantitative Analytics Associate Resume Examples & Samples
- Two to five years’ experience in quantitative or strategic analytics
- Ph.D. or Master’s degree in economics, finance, mathematics, statistics, computer science, or other quantitative field
- Strong knowledge of banking industry, lending products, and stress testing
- Critical thinking, problem solving ability with business intuition, intellectual curiosity, and ability to execute
- Organized and focused on delivering results, with proven execution/process skills
- Result-oriented, ability to perform multiple tasks simultaneously to meet strict deadlines
- The ability to explain complex information in simple and concise format
- Ability to build efficient, control oriented processes that are robust and sound
- Relational databases and SQL programming, strong data analysis and cleaning
- Ability to understand mathematical/statistical models, strong intuition on complex statistical processes
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Quantitative Analytics Prf Resume Examples & Samples
- Support Affordable Lending Analytics and Research through data preparation, complex data and statistical analysis, and model output assessment
- Design and implement processes and analytical tools to proactively support our community mission
- Write memos summarizing results of analyses performed
- Research data tools and sources to develop efficient processes to retrieve and use relevant information
- Enhance market intelligence tools, processes and analytical systems as business needs develop
- Prepare and maintain documentation of models, processes and programs in use
- Maintain working relationships with other departments and divisions
- Minimum of two years of relevant experience in an area related to statistics and data analytics
- Ability to apply an analytical mindset to understand problems and propose actionable solutions supporting strategic business decisions
- Strong programming in languages such as SAS, Stata, R, Python, C++ or Matlab and database skills such as SQL
- Experience using tools such as ESRI ArcGIS, R Markdown, SAS VA, or Javascript for Data Visualization
- Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms
- Knowledge of Freddie Mac data and business
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Quantitative Analytics Prf A Resume Examples & Samples
- Use techniques from statistics, machine learning, and other data sciences to estimate predictive models from numeric, categorical, textual, geographic, and other data features
- Present research results to both technical and non-technical audiences
- Write model documentation and research reports
- Visualize data to communicate complex ideas
- Master’s degree in data science, statistics, computer science, economics/econometrics, applied mathematics, operational research, physics, bioinformatics, engineering; or a directly related quantitative field; OR
- Bachelor’s degree with at least 3 years of related post-graduate work experience
- PhD in a quantitative discipline
- Experience using Linux and/or Unix
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Senior Analyst Quantitative Analytics Resume Examples & Samples
- Develops technical design discussions regarding economic modeling of financial instruments
- Develops models for financial products including insurance guarantees and various assets, particularly derivatives
- Supports product development initiatives including developing and improving the annuity simulation engine, reviewing pricing strategies, assumptions, and product features
- Prepares technical documentation including methodology, process, and design documentation
- Presentation and communication of technical matters to a wide range of technical and non-technical audiences
- Monitors and implements best practices in high performance computing (HPC) and financial modeling
- Partners with Risk IT team to productionize models
- Able to think and work independently
- Highly motivated individual and strong analytical problem-solving skills with attention to details
- More than 5 years of experience in relevant or related modeling and analytics
- Experience with or knowledge of C++, CUDA (GPU), Matlab, and VBA
- Good understanding of Monte Carlo Simulation techniques and modeling of market factors
- Excellent understanding of financial mathematics and derivatives
- Relevant work experience in banking, technology, hedge funds, or insurance #LIAE!
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Quantitative Analytics Dir Resume Examples & Samples
- Guide the modeling area and business users to achieve sound understanding of corporate model
- Master’s degree or higher plus 5 – 7 years of related experience, or combination of education and
- Strong understanding of the best practices used in model development, implementation, and usage
- Excellent interpersonal and communication skills, particularly written communication skills
- Demonstrated experience with Microsoft Office and Web tools (Word, Excel, PowerPoint, Visio,
- Experience in an audit or controls environment for modeling activities
- Experience in model validation process
- Experience creating and maintaining SharePoint site
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Quantitative Analytics & Model Development Consultant Resume Examples & Samples
- Machine learning
- Predictive analytics
- Algorithm development
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Quantitative Analytics Resume Examples & Samples
- Developing and preparing timely and accurate reporting and analysis ranging in various levels of difficulty
- Analyzing results of operations and performance based on existing reporting and adhoc analytical business needs
- Giving presentations to all levels of management based on analysis and reporting
- Developing and implementing new processes ranging in in various levels of difficulty
- Actively looking for ways to improve upon existing reporting/processes to increase effectiveness and efficiency to reporting/processes
- Maintaining and improving upon the departmental workflow methods and procedures; support interdepartmental relationships
- Performing administrative duties such as training, work organization, communication, and documentation
- Actively working to grow and expand a technical skill set which would include: coding in SAS (PC and / or Enterprise Guide), SQL, and the Microsoft Office Suite
- Assisting with basic peer education of job related skills
- Actively working to grow business acumen
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Asset & Wealth Management Model Development Quantitative Analytics Resume Examples & Samples
- Actively interact with both quantitative developers and business experts to assist in model development and quantitative research initiatives for various businesses within AWM
- Support ad-hoc quantitative research exercises and analysis
- Analyze, validate, and benchmark the performance of various advanced quantitative models
- Support ongoing development, testing, and maintenance of econometric or statistical models that meet internal and regulatory standards
- Perform data extraction, exploration, sampling, and statistical analyses
- Assist in the drafting of technical model documentation and internal research reports
- Bachelors or Masters Degree in Economics, Finance, or Statistics
- 1 – 3 years relevant work or research experience
- Excellent communication skills—both written and oral—with the ability to distill quantitative problems and solutions into clear, concise English
- Ability to work independently in a fast-paced and intellectually demanding environment
- Strong analytical and creative problem solving skills with experience in data driven solutions
- Thoroughness and attention to detail, high level of accuracy, and strong work ethic
- Strong collaborative, teamwork ethic
- Expertise in Microsoft Word, Excel, PowerPoint
- A strong candidate would additionally possess the following
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Quantitative Analytics Mgr Resume Examples & Samples
- Manage all aspects of model policy, standards, and procedures throughout the lifecycle of all models used in the company including but not limited to Data, Model Theory and Framework, Estimation, Implementation, Model Use, Ongoing monitoring and Documentation
- Design and execute procedures to analyze and test governance over model use, model development, and model risk oversight
- Evaluate how effectively model controls are designed and operating and use this information to test the process, make recommendations for improvements and enhancements
- Review risk assessments conducted by validation teams to ensure validity, quality and consistency of reviews through detailed reviews of validation documents and findings
- Ensure adherence to Standards, Policy and Procedures by 1st and 2nd lines of defense
- Develop and foster an effective challenge environment within the validation team
- Create a detailed check list of validation requirements by model type
- Make expert recommendations to Directors and Lead Directors
- Work with Model Controls to ensure model risk tool is updated
- Ensure Model governance requirements are met and monitor compliance/adherence
- Bachelor’s or Master’s degree in Economics, Statistics, Mathematics or Finance or a directly related quantitative field
- 5+ years of experience in model development or model risk management in areas such as credit risk, interest rate, mortgage and derivative valuation models
- Strong knowledge of Word, Excel, PowerPoint, Visio
- Excellent writing skills and strong interpersonal, business partnering and communication skills
- Strong analytical skills with attention to detail
- Experience working in governance groups such as audit/legal/compliance with experience in model risk management
- Strong familiarity/good understanding of statistical/econometric models
- Strong organizational skills and ability to influence peers and seniors
- Comfortable working as an individual contributor or in a group environment
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Analyst, Financial& Quantitative Analytics Resume Examples & Samples
- Design, execute and perform complex clinical and financial analytics, using MS office suite and SQL database technologies
- Develop working solutions to custom client requirements, keeping in mind product capabilities, scope limitations and the impact on integrated products employing analytical methods
- Perform root cause analysis to identify data flow issues/ system performance issues and/or data discrepancy issues employing SQL queries and database tools
- Design and/or develop specific databases for collection, tracking, and reporting of administrative clinical data using SQL Server Management Studio 2008
- Prepare documents and presentation materials describing analytic methods, observations and findings of analytics, and/or business logic flow employing MS office suite (Excel, Word and PowerPoint)
- Master's degree in Computer Science, Engineering, Mathematics, Business, or related field of study, plus at least 1 year of experience in the job offered or at least 1 year of experience as a Programmer, Associate, or a related role. In lieu of a Master's degree plus at least 1 year of experience, Employer is willing to accept a Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or related field of study, plus at least 3 years of experience in the job offered or at least 3 years of experience as a Programmer, Associate, or a related role
- All applicants must have: (1) at least 1 year of experience in an analytic and data management or software development environment; (2) at least 1 year of experience developing database driven projects using T-SQL on SQL Server; (3) at least 1 year of experience or educational training in statistical stratification, sampling and cohort driven data modeling and analysis; (4) experience with MS Excel, Word, PowerPoint, Project, and SharePoint; and (5) experience with SQL database tools
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Manager, Quantitative Analytics Resume Examples & Samples
- Enhance the existing platform to support SA-CCR calculations and develop the process for aggregation of stress testing results. Complete documentation for all new processes
- Support testing and extensive parallel runs for regulatory changes under SA-CCR with detailed capital impact analysis. Support stress testing parallel runs
- Leverage visualization, data mining, statistical and algorithmic techniques from data science to develop daily and monthly tools and processes to improve reliability of CCR reporting and identify opportunities
- Collaborate with other Market Risk Measurement teams and as well as Risk Management, IT, Financial Engineering, Finance, Audit and various business lines
- Excellent communications skills with a focus on collaboration and team work
- Strong analytical and problem solving skills with the proven record of creativity and innovation
- Interest in combining and integrating different programming languages and software tools
- Interest in learning about finance, derivatives, and counterparty credit risk
- Experience in software development with exposure to SQL and Unix shell scripting
- Experience in at least one other programming language
- Experience in relational database design and application development with Java
- Experience in the use of data analysis, reporting, and visualization tools (Cognos, Tableau, SAS, etc.)
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Quantitative Analytics Mgr Resume Examples & Samples
- Lead audits, data analysis, and model risk assessment projects
- Challenge data quality assessments and suggest more efficient alternatives
- Possess knowledge of applied computer programming, preferably R, Python, SAS, MATLAB
- Lead from an in-depth knowledge of mortgage analytics
- Designs and executes procedures to analyze and test governance over model use, model development, and model risk oversight
- Provide thought leadership on key initiatives including execution of model risk management framework and data quality improvement programs
- Coordinate with third parties and deliver trainings on key topics for the team, including statistics, models and data
- Master’s degree or foreign equivalent in statistics, data science, economics, finance, computer science or related quantitative disciplines with 4-8 years of audit experience
- Demonstrated proficiency in managing analysis teams with tight deadlines and controlled budgets
- Strong written and oral presentation skills
- Experience querying relational databases via SQL
- Familiarity with rules-based and statistical approaches to forensic analysis
- Ongoing learning of data science techniques and applications to audit work
