Risk Analyst - Portfolio Forecasting

GM Financial•Fort Worth, TX

2d•Hybrid

About The Position

The Risk Analyst – Portfolio Forecasting assists in designing, developing, and maintaining complex portfolio forecasting models that support corporate planning, financing, and account servicing operations. The role analyzes and reports factors affecting portfolio performance, including delinquency, loss frequency, loss severity, bankruptcies, and payoffs. The analyst uses data mining, spreadsheet, and technical skills to conduct forecasting, modeling, analysis, and reporting. They apply data analysis and validation best practices, find effective ways to visualize complex data, monitor portfolio performance for emerging trends, and communicate findings, methodologies, expectations, and results to management. The position is based in Fort Worth, Texas, with a flexible hybrid schedule requiring three days in the office each week: Tuesday, Wednesday, and Thursday. Candidates requiring visa sponsorship will not be considered.

Requirements

Demonstrated understanding of data mining, data analysis, data visualization, quantitative methods, and sophisticated forecasting techniques.
Advanced proficiency in Microsoft Excel, PowerPoint, and Word.
Experience with data analysis, spreadsheet modeling, and reporting.
Experience with coding, preferably SAS or SQL, for data mining and transformation in a data warehouse environment.
Strong quantitative and analytical skills and exceptional attention to detail.
Effective written and verbal communication skills, including the ability to clearly present complex analytical findings.
Ability to manage multiple projects, prioritize competing responsibilities, and meet deadlines in a fast-paced environment.
Ability to identify business challenges and translate them into quantitative questions and analytical solutions.
0–2 years of experience working with complex Excel workbooks, querying large multi-table datasets, performing data analysis, and presenting analytical findings.
Bachelor’s degree in Finance, Economics, Mathematics, Business, Business Analytics, Management Information Systems (MIS), or another quantitative field. Degrees in non-quantitative fields may be considered with adequate relevant work experience.

Nice To Haves

Understanding of key metrics used to monitor consumer lending portfolio performance.
Experience in consumer loan or lease portfolio analysis, reporting, and/or forecasting.
Master’s degree in Finance, Economics, Mathematics, Business, Business Analytics, MIS, or another quantitative field.
Ability to use AI tools such as Microsoft Copilot to support daily work.
Skill 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.

Responsibilities

Assist in designing, developing, and maintaining sophisticated portfolio forecasting models.
Use data mining and advanced spreadsheet and technical skills for forecasting, modeling, analysis, and reporting related to portfolio performance.
Apply data analysis and validation best practices to ensure accurate and reliable results.
Develop innovative ways to visualize and present complex data to support business decisions.
Monitor portfolio performance, identify emerging trends, and communicate relevant changes to management.
Summarize and present portfolio performance trends, expectations, forecasting methodologies, and results to management.