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Risk Statistician

GM Financial
Risk Statistician
Texas, US
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Job Description

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose: We pioneer the innovations that move and connect people to what matters.

About the role

The Risk Statistician plays a role in supporting the portfolio forecasting team, and providing statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This position focuses on assisting in the design and development of complex portfolio forecasting models, analysis of credit performance within the broader auto finance market, and developing and maintaining credit score based loss models. These models are used to support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses. In addition, this position is responsible for completing ad-hoc statistical analyses of factors relating to originations and portfolio performance, under the guidance of a Senior Statistician or AVP..


What makes you a dream candidate?

  • Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
  • Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance
  • Employ best practices of data analysis and model validation to ensure data results are accurate
  • Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
  • Assist in ad hoc research projects incorporating project design, data collection and analysis
  • Monitoring and validating model performance and updating models as needed
  • Gathering and analyzing data to determine impact to business operations
  • Knowledge of spreadsheet modeling and credit risk techniques
  • Ability to identify and understand current and emerging business issues and map these issues into quantitative questions
  • Ability to interact collaboratively with internal customers and external vendors
  • Advanced quantitative skills and ability to apply complex econometric and statistical principles
  • Skills in R, STATA, SAS, JMP and/or Bloomberg terminal


Education and Experience

  • Bachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required; Master's Degree in a quantitative field preferred
  • 0-2 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word preferred
  • 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred

What We Offer: Benefits effective day 1, 401K, Bonding leave for new parents (12 weeks, 100% paid), Pet insurance, training, certifications

Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation: Competitive pay

Work Life Balance: Flexible hybrid work environment

Benefits Package: Generous benefits package

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