Risk Analyst - Portfolio Forecasting

GM Financial•Fort Worth, TX

3d•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 on factors affecting portfolio performance, including delinquency, loss frequency, loss severity, bankruptcies, and payoffs. The analyst uses data mining, advanced spreadsheet skills, and technical capabilities to forecast, model, analyze, and report portfolio performance. The role applies data analysis and validation best practices, develops effective ways to visualize complex data, monitors performance for emerging trends, and communicates portfolio trends, expectations, forecasting methodologies, and results to management. The position requires a bachelor's degree in a quantitative or related field and 0–2 years of experience working with complex Excel workbooks, querying large multi-table datasets, conducting analysis, and presenting findings. A master's degree and experience with consumer loan or lease portfolio analysis, reporting, or forecasting are preferred. The work is performed in a flexible hybrid environment, with three days per week in the Fort Worth, Texas office.

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 present complex analytical findings clearly.
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; a non-quantitative degree may be considered with adequate relevant work experience.
Ability to use AI tools, such as Microsoft Copilot, to support daily work.
Skills in evaluating AI outputs for accuracy, compliance, and bias.
Understanding of responsible AI use, including ethics and data protection.

Nice To Haves

Understanding of key metrics used to monitor consumer lending portfolio performance.
Experience integrating AI into workflows to improve efficiency or insights.
Familiarity with AI-assisted research, summarization, and content generation.
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.

Responsibilities

Assist in designing, developing, and maintaining sophisticated portfolio forecasting models.
Use data mining and advanced spreadsheet and technical skills to perform complex forecasting, modeling, analysis, and reporting related to portfolio performance.
Apply data analysis and validation best practices to ensure results are accurate and reliable.
Identify innovative approaches to visualizing and presenting 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.