Risk Data Analyst Resume Samples

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D Conroy

Dina

Conroy

3812 Reagan Gateway

New York

+1 (555) 745 7766

3812 Reagan Gateway

New York

Phone

p +1 (555) 745 7766

Experience Experience

Boston, MA

Risk Data Analyst

Boston, MA

Roberts, Abshire and Denesik

Boston, MA

Risk Data Analyst

Leading effective data management, monitoring and tracking Key Data Elements (KDEs) through the bank's financial systems
Performing ad-hoc deep dives into our data to analyse data quality issues and present meaningful insights and visualisations
Ensuring that any reports or processes are aligned to a specific business outcome from the relevant franchise or function
Assisting with the creation of end-to-end diagrams that detail how data flows, before communicating results to both the bank's franchises and functions
Supporting the embedding of RDAR standards and maintaining RDAR artefacts
3) Provide domain support to development teams on core fundamentals
Establish and manages effective relationships with other areas in GSK to ensure alignment of controls and closely collaborate with Global ethics & Compliance data analytics team to be effective

Boston, MA

Market Risk Data Analyst

Boston, MA

Torp-Yundt

Boston, MA

Market Risk Data Analyst

Improve, streamline and automate the sourcing, management and maintenance of market data in the market data platform
Manage, run and further improve the periodic recalibration process of the Value-at-Risk model
Manage, run and further improve the periodic recalibration process of the Value-at-Risk model,
Improve, streamline and automate the sourcing, management and maintenance of market data in the market data platform,
Improving, streamlining and automating the sourcing, management and maintenance of market data in the market data platform
Competency in working with large data sets, statistical analysis, regression models
Monitor and review data quality and develop strategies for data quality assurance,

present

Boston, MA

Operational Risk Data Analyst

Boston, MA

Moore-Macejkovic

present

Boston, MA

Operational Risk Data Analyst

present

Works with Product Managers to translate business strategy into technology roadmaps and coordinating them with internal IT team and vendors
Provide ongoing support for the metadata , Data Quality Assurance and master data management processes
Establishing relationships with business stakeholders to identify and address risk areas in the organization
Document and distribute policy, regulations, rules, definitions and standards as it relates to Data Governance, Data Quality and Data Management
Provide monitoring, tracking, and reporting of Data Quality Measurements and IMRs
Working with the NA LOB’s DGLs to identify and document Critical Data Elements that will be monitored and measured in the Data Quality process
Blending/analyzing (by means of wrangling, visualizing and modeling) data from various sources towards providing support for stakeholders

Education Education

Bachelor’s Degree in Business

University of Memphis

Bachelor’s Degree in Business

Skills Skills

Able to execute multiple analytic projects at high level of quality on tight business timetable
Highly proficient in Microsoft Office products (Excel, Word and Power Point)
Strong presentation development and writing skills (e.g. proficient in Microsoft Excel, PowerPoint and Word)
Solid understanding of relational databases and comfortable extracting data from relational database via SQL code (Oracle)
Able to work effectively on cross-functional business team composed of people with diverse backgrounds, some of whom are non-technical
Knowledge of software engineering approaches and technologies such as testing, code versioning and task management (e.g. github, JIRA and Confluence)
Excellent written and spoken English
Able to work with little direct supervision once ownership of a project or task has been assigned
Proven data analysis skills using tools such as Tableau, Lavastorm, SQL or Python (2+ years)
5) Ability to understand logical models

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15 Risk Data Analyst resume templates

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Risk Data Analyst Resume Examples & Samples

Support research around methodologies to analyze AML risk on an enterprise-wide basis, across all LOBs, regions, countries and product & client segments
Strong analytical skills required to organize and analyze multiple, complex data sets as well as strong interpersonal, organizational, communication and creative thinking skills
Analyze AML risk assessment results to identify and summarize risk themes
Source and structure AML data, metrics and qualitative factors to support analysis of risk factors
Assist in the analysis of data related to the implementation of various Risk Assessments
Work with quant team and partners in IT to frame data issues and recommended solutions
Collaborate with Reporting analyst on production of customized and ad-hoc reports as required
Support overall governance process around execution of AML risk assessment, liaising with Corporate AML PMO and LOB PMO teams as necessary
2-5 years work experience in a financial services firm
Advanced knowledge of EXCEL, Access, and PowerPoint
Experience in organizing and analyzing data sets in Excel or other tools
Experience working with governance, risk and compliance methodologies and practices
Good team player who values group collaboration
Highly detail oriented, with excellent research and analytic skills
Excellent written, verbal and interpersonal communication skills
Experience in AML risk and compliance a plus
Experience in a high volume, high intensity function a plus

IT Risk Data Analyst Resume Examples & Samples

Implement and embed the oversight Risk reports operating rhythm across technology and the associated business entities
Synthesize internal and external risk data to develop Business IT risk profiles and monitor business environment to determine potential impact analysis
Monitor the business performance on existing processes and controls to ensure compliance with policies and standards. Identify new IT and business risk areas and develop appropriate standards and controls. Build best practice sharing process to leverage learning's and business capabilities
Create ongoing rhythm to monitor IT Risks and track Risk Treatment Plans resulting from audits or assessments
Support regulatory review processes including coordination of data requests, audit preparations and managing work plans
Coordinate and liaise with other GECC HQ functional risk teams
Strategic analysis of all IT Risks data across Capital International (28 platforms) including, trend identification, data history review, cross function analysis
Maintenance and improvement of an existing DWH including the front end, DB model and reporting engine
Create and maintain a library of Report for both the HQ team and the platforms CIOs' and ensure Risk data consistency between different systems
Manage a future data migration to a new Risk tool (specification document, data migration, regression testing and sign off)
Bachelor's Degree in IT discipline or related field with an IT focus
Strong advanced Excel & SQL skills to manipulate and analyze data
Proven critical thinking and problem solving skills with ability to gather input from a variety of sources, synthesize the information, and deliver an independent analysis
Self-motivated individual with excellent verbal and written communications skills
Ability to travel (approx. 10% of time)
Strong analytical skills together with data warehouse concepts knowledge are key competencies of this role
Successful experience gained within an accounting firm
Exposure to Corporate Governance Risk & Controls tools (ARCHER, Metric Stream)
Experience with financial industry regulatory requirements

VP Risk Data Analyst Resume Examples & Samples

The role is subjected to constant and sustained scrutiny from internal and external auditors and multiple external regulators. Also required to serve on project committees at the HBUS, HNAH, and Global level
The role must be able to relate complex financial theory and models to the changing economic environment, and must be able to understand the limitations of models based on historical experience
Minimum of eight years proven and progressive credit and financial services experience or equivalent, including extensive knowledge and hands-on experience related to model development and management
Minimum of a bachelors degree in business, mathematics, statistics, industrial engineering, operations research related fields or equivalent experience; Masters degree preferred for quantitative responsibilities
Strong communications, analytical, decision-making, lateral thinking and interpersonal skills

Ccb Risk Data Analyst, Risk Architecture Resume Examples & Samples

Knowledge of the risk data requirements for validation, analytics, reporting, MIS and modeling capabilities
Support key leads in defining system and data requirements to Technology
Bachelor's Degree in a quantitative field such as Mathematics, Statistics, Technology or Economics is required; Master's Degreee preferred
3-5 years experience in financial services data or the equivalent
Knowledge of data management techniques and tools
Proven experience with any one of these powerful analytical tools is required (SAS, SQL, PL/SQL)
Strong relationship, verbal and written communication skills

Risk Data Analyst Resume Examples & Samples

Manage and support monthly TRR activities
Support Corporate monthly submission and analysis when required
Create and present reports on model performance for senior management
Develop and running model monitoring reports
Support Development of models jointly with Modelling COE
Develop ad hoc reports and risk management presentations for external and internal audiences, and provide responses to specific portfolio analytics questions
Understand and develop deep knowledge on WCS business processes
Analyze current models against large datasets and Present findings to internal and external stakeholders
Propose new solutions for predictive analytics
Develop and support Best-in-class analytic solutions/algorithms
Provide thought leadership in various initiatives/projects (Auto decision, Portfolio analytics…)
Evaluate complex situations by working cross-functionally and analyzing multiple sources of data
Utilize data processing algorithms to predict trends and support root cause investigations for any change in trends
Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered
Provide actionable insights to various stakeholders
Bachelor degree in statistics, business finance, economics, mathematics, engineering or related quantitative field or equivalent knowledge and experience
Proven years of risk management experience
In-depth experience in quantitative risk / decision technology including experience of developing and implementing risk models
Must be able to effectively communicate business strategy, recommendations, and technical analyses to both technical and non-technical audiences
Demonstrated ability to present complex information using PowerPoint and in analyzing large sets of data in Excel Spread sheets, MS Access database and Business Object are mandatory. SAS knowledge is a significant plus
Able to understand Portfolio database variables to design reports to facilitate analysis, including demonstrated aability in quantitative analysis
Proven track record of credit scoring project delivery with experience to handle multiple projects simultaneously
Able to work under tight schedules and consistently meet objectives

CCB Risk-data Analyst Risk Associate Resume Examples & Samples

Understanding of the lines of business Risk data requirements for Analytics, Reporting, MIS and Decisioning capabilities in CCB Risk
Work with LOB risk data stewards and risk SMEs to develop the metadata for all CCB Risk Domain data
Responsible for executing on Data Management control activities e.g., documentation, certification, etc
Ability to establish profiling parameters and/or database queries that allows for the identification of unique Risk Domain data element properties
Analyze Risk Domain data elements to determine basic characteristics as well as complex relationships and drivers across Risk Domain data elements
Partner with Technology to ensure appropriate data modeling of Risk Domain data elements according to various usage patterns
Independently perform moderately complex technical tasks, using tools such as Excel, SAS, SQL, TOAD, PowerPoint, Web-based technologies or Business Intelligence tools
Has moderate working knowledge of internal technology systems or data warehouses
Ability to write basic and complex data quality rules
Ability to determine the root cause of the issue through analysis, awareness of business trends, or leading questions from management. Identify and report data quality issues as discovered during data element analysis
Present progress of data certification/documentation to Risk Data Manager
Analyze downstream impacts of data adjustments and corrections, and inform data consumers accordingly
5+ years experience in Line of Business data or the equivalent
Direct work experience with data in a Line of Business capacity
Understanding and knowledge of risk management processes and data
Proven experience in change management
Proficient in project management
Database querying skills
Experience in banking or financial services

Market Risk Data Analyst Resume Examples & Samples

Improving, streamlining and automating the sourcing, management and maintenance of market data in the market data platform
Managing, running and improving the periodic recalibration process of the Value-at-Risk model
Developing and writing requirements and design specifications for process, workflow and user-interface changes in the market data platform, and participating in the implementation and testing
Monitoring and reviewing data quality and develop strategies for data quality assurance
Contributing to analyses/responses demanded by internal and external parties (e.g. regulators, audit)

Risk Data Analyst Resume Examples & Samples

Responsible for accurate preparation of management level reports, ad hoc reporting and analysis utilizing queries from the multiple reporting systems and customer information collected from across the business segments
Prepare and review quarterly/monthly risk analysis package with analytics managers
Establish appropriate contact with business segment peers to understand portfolios, drivers and actions for loss mitigation
Salesforce Approval (E-Board) Administration: Manage the preparation, execution and coordination of deal team sign-off for closing certificates, funding memos and deal approval papers. Manage maintenance and administration of Salesforce Approval. Develop deal metrics reports for senior management review
Spread customer financial statement data into SURE PD in accordance with Risk Operations Standard Operating Procedures
Manage and co-ordinate all Risk driven Business and SLT meetings and review s e.g. Early Read, Account Reviews, Business Reviews etc
Risk System Administration: Support maintenance and administration of GECAS risk systems and models, including Customer Profile, SURE PD, LGD and Default Tracking system
Bachelor’s Degree or High School diploma/GED and proven years of work experience in an accounting, finance, or audit role(s)
Experience with Microsoft Office Suite: Word, Excel, Outlook, PowerPoint, and Access
Experience leveraging operating systems/ multiple data sources for portfolio reporting and economic analysis
Strong communication skills with the ability to prepare clear communication and confidently present meaningful analysis to senior and executive management level
Demonstrated experience analyzing business data with the ability to distil large amounts of information down to the critical areas of focus
Clear thinker with an ability to think through processes
Proven ability to successfully interact with all levels of an organization

Cdo-risk Data Analyst Resume Examples & Samples

Prior experience in Citi Risk Systems preferred (but not mandatory)
Able to work effectively and efficiently toward goals in a complex, diverse environment with multiple and changing demands
90+% proficiency in English
Advanced Microsoft Excel Skills
Identifies, develops, and initiates innovations and solutions where precedents and procedures may not exist
Works cross-functionally to solve problems and implement changes
Ability to work with minimum supervision as an individual contributor or as part of a larger team
Analytical thinking skills
Critical Thinking & Problem-Solving skills: Analyzes decisions and actions for their support of the larger area's strategic direction. Escalates problems that require attention in a timely basis
Collaboration: Demonstrates collaboration skills and techniques which appropriately define alternate solutions; resolve conflicts; and create lasting, productive partnerships with clients

IT Risk Data Analyst Resume Examples & Samples

Develop data analytics queries/tools to support various types of IT Risk Control activities including: Risk Assessments, Program Progress, Continuous Monitoring and ad-hoc reporting
Leverage key data sources and obtain access/feeds/files necessary to perform data analytics firm wide
Partner with risk partners such as Cyber team and stakeholders to analyze requirements and recommend solutions to build/maintain IT Risk data analytics
Partner with other LOB data analytics teams to share ideas and enhance skills across
3 years of experience in Data Analytics or Risk related to IT Risk Management, Controls and Regulations, Audit, Financial Services, Operational Support
Data analytics experience using software applications in order to query, transform, and/or present data (Excel/Access/VBA, SQL, Qlik View, ACL, Cognos , Business Objects, Spotfire, Splunk, etc. highly preferred
Detailed knowledge of technology (applications and infrastructure) and associated risk and controls are a plus
Understanding of internal control and risk management concepts with the ability to evaluate the adequacy of IT Risk control environment
Experience working with large complex data sets, drawing conclusions and reporting findings
Superior attention to detail and intellectual curiosity
Flexible, adaptable to shifting priorities; able to work in a fast-paced, results driven environment with minimal supervision
Effective time management and multitasking skills
Strong interpersonal skills; exceptional collaboration and relationship building skills

Cdo-risk Data Analyst Resume Examples & Samples

Identifies, develops, and initiates innovations and solutions where precedents and procedures might not exist
Critical Thinking & Problem Solving Skills: Analyze decisions and action areas strategic direction. Escalates problems that require attention in a timely basis
Collaboration: Demonstrates collaboration skills and techniques which appropriately define alternate solutions, resolve conflicts and create lasting. productive relationships with clients

Banking Risk Data Analyst Resume Examples & Samples

2) Provide support in stakeholder management and co-ordinate between different teams during implementation
4) Good knowledge of SQL and writing little complex scripts
5) Should be capable of doing Business Acceptance Test/User acceptance test and System Integration test. He will be required to transform the business requirement into scripts
6) Technical knowledge of data models and database design (Should know what is Tier 1, Tier 2, Financial Data mart etc.)
4) Strong presentation, interpersonal and communication skills
6) Ability to document KPI and dimension requirements
7) Preferred
1) Master of Business Administration (MBA degree is preferable)

Risk Data Analyst Resume Examples & Samples

1) Participating in High Level Business & Project Review Meetings
3) Provide domain support to development teams on core fundamentals
7) Should be good at Requirement gathering, documentation, presentation and interaction with business stakeholders. Should be capable to interact with developers and testers to build complex logic in EDW
8) Should be able to create Data lineage documentation (flow of data from source to T1 and T2) and Metadata Hub
9) Leveraging specialized FSDLM for requirements gathering and documentation
10) Good Communication skill
2) Familiar with all phases of the project lifecycle: requirements gathering, design, development, deployment, testing and support
3) Experience in creating requirement specifications documentation
5) Ability to understand logical models
2) B.E. / B.Tech

Senior Risk Data Analyst Resume Examples & Samples

A master degree or equivalent in quantitative fields, statistics, math, computer science, operation research, engineering or related disciplines
3+ years of experience as a data analyst in a high tech company
Knowledge in programming using R, Python and basic modeling techniques, decision tree, logistics regression
Experience in handle large scale, unstructured data such as Hadoop. Expertise in SQL as well ability to do more advance data programming using Hive, Pig, Spark etc
Creative problem solving and critical thinking skills with a bias toward action and a get things done attitude
Team player mindset that takes ownership for a collective outcome and helps others along the way
Ability to take initiative in a fast-moving environment and independently make decisions or take risks with incomplete information
User-focused - obsessed with customer experience, you were unwilling to make your problems your users’ problems
True passion for Uber’s mission and the company’s hybrid technology / operations nature
A never-ending desire to grow and learn

Operational Risk Data Analyst Resume Examples & Samples

Work closely with the NA LOBs DGLs to identify data quality requirements and initiate projects to address in-business needs and meet GCB DGO data quality requirements
Working with the NA LOB’s DGLs to identify and document Critical Data Elements that will be monitored and measured in the Data Quality process
Document and distribute policy, regulations, rules, definitions and standards as it relates to Data Governance, Data Quality and Data Management
Serves as a Technical SME with the knowledge of the Data Governance Concepts, business rules, data flows, ETL processes, and Analytical tools to support all the NADGU DGLs, DQ Measurement and Reporting projects
Enforce a consistent strategy, architecture, roadmap, and standard platforms documentation
Works with Product Managers to translate business strategy into technology roadmaps and coordinating them with internal IT team and vendors
Confirm project requirements by studying user requirements; conferring with others on project team
Facilitates identification of current state architecture by working with Citi Technology Office (CTO) Architecture teams, Application Owners, ETL Process owners and business teams
Facilitates identification of points of data quality measurement in alignment with CDMP and defined business requirements
Serve as a SME for data mapping, providing details in data lineage to confirm and enforce data accountability. Support Business Analysts in sizing project efforts
Actively drive simplification of Technology environment by eliminating specific/duplicative platforms leveraging the Global platforms where appropriate
Provide ongoing support for the metadata , Data Quality Assurance and master data management processes
Work with partners to develop business cases to justify initiatives, and develop tracking mechanism to track finance request and tracking throughout the lifecycle of the program MIS
Develop and maintain the Data Quality Charter and Operating Procedures documentation, make sure it is in place and adhered to in alignment with Citi Data Management Policy requirements

Operational Risk Data Analyst Resume Examples & Samples

Work closely with the NA DG Utility Leads to identify data quality measurement and monitoring requirements and conduct the root cause analysis and subsequently the resolution of data quality issues
Participate in the identification of Critical Data Elements that will be monitored and measured in the Data Quality process
The remediation and resolution of data quality issues across the NA LOB’s in compliance with Citi Data Management Policy IMR process requirements
Provide monitoring, tracking, and reporting of Data Quality Measurements and IMRs
Ensure that all IMR’s are captured in Issues Management System and are tracked, monitored, and kept up to date
2-4 years’ experience in Risk Management, Decision Management, Finance, Operations and/or Collections, Business Intelligence, Technology, Data/Database Management, Customer Analytics and Reporting, Project Management, Operational Risk
Knowledge of Data Governance
Knowledge of Data Quality Processes, Management, and Measurement
Data SME and exposure to Data mining and governance activities
Strong SQL skills and exposed to Performance Tuning of queries
Fundamental understanding of relevant business processes and data segments
Technical data management experience is a plus
Experience with SAS, SQL, Oracle, Unix, Cognos is a plus
Strong PC skills including Word, Excel, Power Point., Microsoft Project Competencies
Strong written, verbal, and interpersonal communication skills
Cooperative problem solving mindset. Able to work well across multiple functional areas
Solid understanding of business strategy and I/T landscape

Operaional Risk Data Analyst Resume Examples & Samples

Business/Organization Alignment
Conduct Data Quality Profiling, Monitoring and Measurement and Root Cause Data Quality Issues Analysis and solution identification
Engage in the Implementation of Data Quality Monitoring and Measurement for all CDE’s identified by the NA LOB’s Data Governance teams
Develop, and distribute required Data Quality Reporting for all of the NA LOB’s to meet LOB’s needs and GCB DGO reporting requirements
Participate in Tier 1 and Tier 2 meetings for NA LOB’s
Provide required Data Quality and IMR reporting to meet Citi Data Management Policy and Line of Business reporting requirements
Education: Bachelor of Arts or Graduate degree
Certifications: NA
Experience with Root Cause Analysis
Metadata and Master Data Repository Management experience a plus
Metadata and Master Data Repository Development and Implementation a plus

Credit Risk Data Analyst Resume Examples & Samples

Responsible for the development, execution and management of all reporting and analytical needs for the Consumer and Business Banking Collection and Recovery (CBBCR) department
Responsibilities include extracting and compiling collection performance data from various source systems (including manual tracking reports) for qualitative and/or quantitative analyses; developing collection risk reporting and analysis capabilities; establishing collection key risk indicators (KRI) with defined triggers and limits; and conducting various ad-hoc analyses to support the strategy and monitoring functions within the department
This role will work closely with management to prioritize information and business needs
Work with other internal teams to create granular delinquency, non-performing loan (NPL) charge off and recovery forecasts by product with a defined and documented forecasting methodology
Analyze large, complex data sets utilizing data mining and statistical techniques to identify and interpret trends or patterns to drive collection strategy and policy enhancements
Filter and standardize data to overcome manual data discrepancies in order to locate and correct reporting and analysis problems
Analyze and define key segmentations for collection risk reporting and analytical focus
Conduct research externally to obtain peer group information such as collection portfolio/product specific performance and key collection ratios (i.e. NPL ratio) for use in various collection reporting and presentations
Create and manage a series of Collection Risk KRIs with defined triggers and limits that support a bottom up approach to the bank's risk appetite
Design, develop and manage a suite of collection risk reports and dashboards. Create monthly analysis presentations documenting deviations from budget and forecasts
Experience of previous experience in portfolio risk analysis / aggregated data analysis with emphasis on collections related data
Proven experience in analyzing collection data and summarizing and presenting findings
Education: F-Bachelors or Equivalent
Between 3 - 5 Years License/Certification: Mathematics, Information Management, Computer Science, Economics, or Statistics; Masters Degree preferred Specialized Knowledge
Advanced skills in Microsoft Excel and Microsoft PowerPoint Demonstrate ability to create queries, reports, and extract data efficiently (MS SQL, Access Databases, SAS) MS SQL & Analysis Services; SAS; Microsoft Office (Excel, Word, PowerPoint & Access)
Proven experience in analyzing data to summarize and present findings Sound understanding of risk and portfolio management with emphasis on collections and recovery
Strong analytical and problem solving skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
Strong business acumen with the ability to operate in a constantly changing environment Management

Risk Data Analyst Resume Examples & Samples

Providing a governance oversight and control function over risk data
Ensuring the correct definition, integration and management of metadata across Risk Management
Ensuring the level of data quality meets Risk Data and Reporting Governance Framework and Standards by establishing processes, procedures and controls at all stages of the risk data lifecycle

Operational Risk Data Analyst Resume Examples & Samples

Design, build and implement a fully automated DQ testing process for Operational Risk Data out of the Operational Risk and Control system (ORAC)
Productionisation of DQ processes in the appropriate system together with complete and appropriate documentation and control structure
Responsible for running regular DQ reporting ensuring that high standards are maintained
Conduct own reviews of output to identify problem areas for further investigation and reporting
Escalate any issues for further investigation
Understand drivers of DQ issues, liaising with SMEs where necessary
Identify new opportunities for enhancing/ streamlining service
Develop initiatives to improve and automate processes to minimize errors and reduce effort

Risk Data Analyst Resume Examples & Samples

Has analysed and documented specific projects' business requirements and strategic resolution initiatives; can describe alternative problem-solving approaches and their optimal uses
Has been able to maintain a dialogue in difficult situations
Experienced with planning, estimating, staffing, organising, and managing multiple projects; had monitored and dealt with critical paths and risks areas
Can identify customer satisfaction gaps through regular communication and participates in negotiations
Adept at influencing others even when position is not initially shared by others (e.g. is able to bring evidence to convince others)
Challenges way of operating with a focus on pragmatism; encourages, solicits and rewards innovative ideas
Delegates, coordinates and motivates teams into reaching challenging goals
Inspires commitment, high energy, and a positive attitude from the team
Adapts style to contribute and enhance overall team performance; works effectively with people across a wide range of disciplines and levels (both internal and outside resources)
Experienced with leading or managing a variety of teams and managing projects/ project teams/project plans; effectively delegates responsibility
Deals comfortably with ambiguity and uncertainty
Effective at working with unstructured teams, situations and environments
Responsible for project costs and resources, tracking actual against budget
Manages the trade off of delivery within time/cost/quality constraints
Plan effectively resources and budget according to HR and finance business processes; experienced at recruiting staff; fulfils the regulatory agencies and reporting requirements
Actively anticipates and identifies stakeholders; manages stakeholders proactively
Applies feedback and changes behaviours accordingly
Develops and monitors programs that integrate learning with practice opportunities; encourages knowledge sharing
Justifies training requests in terms of expected benefits for the individual and the organisation; experienced at coaching superstars and problem performers
Articulates concepts in day-to-day situations or in presentations to audiences at all levels
Clearly defines the purpose of formal discussions (e.g. via one-on-ones, group meetings)
Responds quickly and thoroughly to questions by providing information appropriately
Presents information in a clear, concise, easily understood manner
Recognizes those who need or could benefit from information and shares it accordingly

Risk Data Analyst Resume Examples & Samples

Performing ad-hoc deep dives into our data to analyse data quality issues and present meaningful insights and visualisations
Leading effective data management, monitoring and tracking Key Data Elements (KDEs) through the bank's financial systems
Assisting with the creation of end-to-end diagrams that detail how data flows, before communicating results to both the bank's franchises and functions
Ensuring that any reports or processes are aligned to a specific business outcome from the relevant franchise or function
Creating Lineage Analysis reports, providing options and recommendations where appropriate
Supporting the embedding of RDAR standards and maintaining RDAR artefacts

Risk Data Analyst Resume Examples & Samples

Bachelors Degree required in Mathematics & Statistics, Management Science, Engineering, Information Systems, Finance, or other applicable degree & further education qualification in IT/Data analytics or Finance (CA, ACCA, CIMA)
Relevant experience in delivering and embedding pragmatic analytics, commensurate with the level of risk in the underlying business operations
Understanding of the implications on data analysis related to complex end-to-end business processes comprised of multiple systems and manual interventions (P2P, O2C, R2R, tax & statutory reporting processes)
Significant experience with relational database management systems; including advanced SQL (complex joins, indexing, etc.)
Experience in auditing information systems and internal controls
Experience in implementing and reviewing data governance frameworks
Relevant work experience including experience on large, complex data analytics or intelligence programs and Big Data
Excellent eye for details and ability to identify trends and patterns of information
Experience in audit, controls and risk management
Working experience with a range of data tools, such as
Design and develop analytical solutions to understand risks across the key business processes
Deliver cost effective, timely high-quality reporting and analytics across complex compliance/risk organization while complying with GSK and legal ethical standards
Execute analytics to provide insights to Global Finance risk & control environment and enable decisions on the adequacy of the business control framework
Perform data analytics on data retrieves obtained from the ERP organisation and build out standard reports that can then be used for handover to Continuous Control Monitoring to operational staff
Develop relationships with ERP teams (CERPS, JDE) & GEC Independent Business Monitoring (IBM) & A&A to ensure successful data mining and analytics activities are conducted regularly
Business partnering role with Process Operations teams (SLOs) globally / Global Process Owners (GPOs) to identify stakeholder needs and report trends in process gaps, process risks with a view to create positive risk management impact
Proactively engage Process Operations teams (SLOs) / Global Process Owners (GPOs) to identify opportunities to leverage technology and analytics in connection with driving simplification and efficiency across processes
Support Director –Operations and Regional Lead and Director- Global Processes and Projects to utilise and build out the use of data analytics
Be a team member or team leader on various special projects requiring data analytical and risk assessment skills e.g. Root Cause Analysis (RCA)
Provide clear, insightful interpretation of available internal and external data
Participates on cross-functional and matrixed projects to reduce risk and/or implement new or enhanced controls related to key processes or systems
Establish and manages effective relationships with other areas in GSK to ensure alignment of controls and closely collaborate with Global ethics & Compliance data analytics team to be effective
LI-GSK

Risk Data Analyst Resume Examples & Samples

Data analysis: Build requested data sets to facilitate
Solid understanding of relational databases and comfortable extracting data from relational database via SQL code (Oracle)
Five or more years of experience working as a data analyst; or 2-3 years related work experience in statistical analysis and model development; data mining experience preferred
Highly proficient in Microsoft Office products (Excel, Word and Power Point)
Experience in credit or banking industry a plus
Able to work with little direct supervision once ownership of a project or task has been assigned
Able to execute multiple analytic projects at high level of quality on tight business timetable
Able to work effectively on cross-functional business team composed of people with diverse backgrounds, some of whom are non-technical
Strong presentation development and writing skills (e.g. proficient in Microsoft Excel, PowerPoint and Word)
As provided in NetSpend's Background Check policy, eligible candidates may be subject to drug, criminal history, and credit checks, which will be conducted and used in accordance with applicable local, state, and federal laws

Operational Risk Data Analyst Resume Examples & Samples

Support senior staff through quarterly pre-control-release analysis and amendment to control assignments in MICOS (Monitoring of Internal Control System) perform data extracts, request feedback from FRCO of each Business Area, challenge and consolidate feedback, produce MICOS Group changes script/log, implement changes in the system, run quality spot check
Perform quarterly post-control-reporting (execute data queries, extract data, create reporting with pivots)
Assist senior team member in the execution and delivery QAR analysis and reporting
Regular review of policies mapped to controls
Assist in the annual MICOS access rights provision and review of CRO control areas
Support and execute the quarterly review of third party-vendor contract reviews

Collections Risk Data Analyst Resume Examples & Samples

Represent the department and actively participate in monthly portfolio reviews, business line reviews, and operations meetings to establish continuous feedback loop from collections and recovery to front line business partners
Recommend, generate, execute and monitor retail collection and recovery strategies aimed at enhancing portfolio performance and creating operational efficiencies by applying latest strategic models and tools
Lead projects aimed at enhancing risk strategy decision making environments for various retail segmentations, and improve control environments as a result of department monitoring reviews
Analyze current market and regulatory trends to ensure strategies are optimizing all potential opportunities and proactively preparing for downturns in the credit cycle
Prepare, review and manage all monthly presentations established with applicable business lines, operations teams, and committees, and all retail collection and recovery related policies ensuring alignment with current and future department strategic initiatives
Bachelor’s degree required or equivalent experience
5 -7 years of relevant experience. Proven experience in designing, executing and implementing consumer portfolio strategies
Sound understanding of risk and portfolio management with emphasis on consumer collections and recoveries
Strong leadership, organizational, project management and partnership skills
Ability to anticipate the opportunities and challenges which arise from marketplace, regulatory, operational or technology changes and translate these changes into coherent business strategies
Proactive problem solver with proven ability to take initiative and drive change
Ability to present ideas and concepts in a clear and concise manner
Advanced skills in Microsoft Excel and Microsoft PowerPoint
Strong business acumen with the ability to operate in a constantly changing environment