Risk Statistician

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

This position will be posted until filled.

About the role:

In this role, you will support the development and monitoring of statistical forecasting models, leveraging data analysis and modeling techniques to evaluate portfolio performance and business impacts. You'll analyze complex data, validate model accuracy, create meaningful data visualizations, and communicate insights and recommendations to help drive informed business decisions.

In this role you will:

• 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
• Promote innovative ways to visualize and digest complex data
• 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