Risk Analyst II - Portfolio Forecasting

GM Financial•Fort Worth, TX

1d•Hybrid

About The Position

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. 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.

Requirements

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
2-4 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation
Proficiency with SAS and/or SQL, Microsoft Excel, PowerPoint, and Word required
High School Diploma
Associate Degree
Bachelor’s Degree in Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required

Nice To Haves

Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
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
2-4 years experience in consumer loan or lease portfolio analysis, reporting and/or forecasting preferred
Master’s Degree in Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred

Responsibilities

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