Risk Analyst II - Portfolio Forecasting

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:

This role focuses on portfolio forecasting, data analysis, and performance monitoring to support business decisions. The analyst develops forecasting models, interprets complex data trends, and communicates portfolio performance insights and recommendations to management while ensuring data accuracy and reliability.

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
• May provide direction, training, and guidance to less experienced analysts and lead projects or assignments as required

What makes You an ideal candidate?

• Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, and sophisticated forecasting techniques
• Advanced with Microsoft Excel, PowerPoint, and Word
• Experience with data analysis and spreadsheet modeling and/or reporting
• Experience with coding (SAS or SQL preferred) for data mining and transformation in a data warehouse environment
• Demonstrated quantitative skills
• Acute attention to detail
• Effective written and verbal presentation skills
• Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
• Ability to identify and understand business issues and map them into quantitative questions
• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus

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

Normal office environment
Limited travel may be required to support business needs

Work Experience & Education

• 2-4 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word required
• 2-4 years experience in consumer loan or lease portfolio analysis, reporting and/or forecasting preferred
• High School Diploma
• Associate Degree
• Bachelor’s Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required
• Master’s Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

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 and bonus eligibility.

Work Life Balance: Flexible hybrid work environment, 2-days a week in office.

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions 

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