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VP Decision Analytics

at GM Financial

Posted: 3/15/2019
Job Reference #: 34137

Job Description

  • Job LocationsUS-TX-Fort Worth
    Requisition ID
    Employee Type
    Full Time-Regular
    Risk Management / Insurance
  • Overview

    The VP Decision Analytics plays a key role in enhancing origination and portfolio servicing strategies through the development of data driven credit risk solutions. This position focuses on improving loan acquisition, credit risk and account management strategies through the analysis, interpretation and presentation of origination and portfolio information. The VP Decision Analytics is responsible for summarizing and reporting this information to a variety of internal clients and interacting with other departments to achieve the overall company objectives.



    • Development and implementation consumer and commercial origination and servicing scorecards
    • ECOA Reg B compliance reporting
    • Oversight of credit risk processes and resource allocation
    • Development and implementation of procedures to ensure the group provides a high level of service and professionalism
    • Effective leadership, organizational and project management
    • Design, development, and implementation of Big Data analysis, modeling, and model tracking
    • Manage the recruitment and selection of new team members
    • Coaching, mentoring, and training team members to establish a consistent level of quality, accuracy, accountability, and compliance to department standards
    • Provide complex modeling and statistical support to all areas of Risk Management
    • Development of new models, tracking established models, and applying statistical thinking to new business areas
    • Ensuring delivered products meet the business requirements
    • Research and identifying opportunities for statistical applications for new business areas and to improve the effectiveness of existing business strategies
    • Partner with and provide recommendations to business leadership on the appropriate application of quantitative analysis, statistical modeling, and risk management techniques to business strategies
    • Communicate analytical results to Executive and Senior leadership throughout the company



    • Credit risk experience at the management level with respect to data analysis, credit risk modeling, and strategic planning
    • Knowledge of finance, statistics, economics, and consumer credit
    • Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, big data, and data analysis techniques
    • Advanced knowledge of principles, standards, practices, and techniques relating to statistical modeling for a financial firm
    • Advanced knowledge of applied statistical methodologies, such as regression, logistic regression, sampling techniques, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, non-parametric techniques, principal components, experimental design, linear programming techniques, random forests, gradient boosted trees, ensemble modeling as well as other machine learning algorithms
    • Advanced knowledge of Hadoop, HBASE, Spark, H20
    • Knowledge of credit bureaus and the structure of their credit files
    • Knowledge of the laws that cover the usage of statistical models under the Equal Credit Opportunity Act
    • Advances skills with SAS and/or R, Python, Excel, Word, and PowerPoint


    • Capable of managing multiple and varied projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines while maintaining a big-picture perspective
    • Effective written and verbal presentation skills with an ability to communicate well with Executive and Senior Management
    • Ability to interact collaboratively with internal customers and external vendors
    • Demonstrated quantitative skills and ability to apply complex financial and statistical principles to projects
    • Ability to identify emerging business issues and place them into quantitative questions
    • Proven training, leadership, and development skills
    • Experience in data mining, data analysis
    • Experience with coding SAS and/or R for data mining, data manipulation, analysis and querying in a data warehouse environment
    • Experience in big data analytics, big data mining, and machine learning

    Additional Knowledge and Skills

    • Extensive experience in statistical / scorecard modeling


    • Bachelor’s Degree in Finance, Economics, Mathematics, Statistics, or similar quantitative field required
    • Master’s Degree ?in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required


    • 4+ years of experience managing and leading a group of statisticians and analysts required
    • Advanced skills with R and/or Python, Excel, Word, and PowerPoint
    • Experience in big data analytics, big data mining, and machine learning

    Work Conditions

    • Normal office environment
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    Application Instructions

    Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!