Consumer Risk Representative

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 Consumer Risk Representative will be responsible for developing reporting solutions (both analytical and data strategic oriented) and supporting the development and validation of models and forecasts to contribute to a better decision-making process. In this role you will review consumer portfolio trends and assist in the development of credit policies, collection campaigns and support the consumer risk team in assigned activities

In this role you will;

• Creation of portfolio monitoring tools.
• Proposal and coordination of data driven collection strategies.
• Review consumer portfolio trends, transforming data analysis into recommendations to the business senior management.
• Regulatory reserves calculation and support with audit or regulatory requirements.
• Creation of models to forecast the behavior of the portfolio.
• Support in ad-hoc activities.

What makes You an ideal candidate?

• Fluent English Skills.
• Analytical capabilities.
• Effective oral and written communication.
• Previous experience on portfolio reporting for consumer portfolios, credit analysis, credit strategy development, statistical modelling (desirable).
• Desirable experience in at least one of the following software: SAS, SQL, WPS, PYTHON, R, Cognos, or a similar tool.
• Proficient computer skills, including – Excel, Power BI, Outlook, PowerPoint Knowledge about data science, machine learning methodologies (desirable).

Additional Knowledge and Skills

Working effectively within an AI enabled environment:

• Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
• Skills in evaluating AI outputs for accuracy, compliance, and bias
• Experience integrating AI into workflows to improve efficiency or insights
• Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection

Work Experience & Education

• Bachelor’s degree in Actuary, Economics, Statistics, Computer Science, Engineering, System Engineering or similar.
• Desirable +1 year of relevant work experience in banking, financial services, data science or modelling (desirable).

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