05/18/2026

Risk Analyst - Portfolio Forecasting

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.

 

This position will be posted until filled.

About the role

The Risk Analyst – Portfolio Forecasting is responsible for assisting in the design, development, and maintenance of complex portfolio forecasting models. The models are used to support corporate planning, financing and account servicing operations. In addition, this position is responsible for analysis and reporting on factors that affect portfolio performance such as delinquency, loss frequency, loss severity, bankruptcies and payoffs.

In this role you will:

  • Assist in the design, development, and maintenance of sophisticated portfolio forecasting models
  • 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 validation to ensure data results are accurate
  • Promote innovative ways to visualize and digest complex data
  • Proactively monitor and report relevant changes in portfolio performance to management
  • Effectively summarize and communicate portfolio performance trends, expectations, forecast methodology and results to management

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