Risk Statistician

About the role

In this role, you will support the development and monitoring of statistical forecasting models, leveraging data analysis and modeling techniques to evaluate portfolio performance and business impacts. You'll analyze complex data, validate model accuracy, create meaningful data visualizations, and communicate insights and recommendations to help drive informed business decisions.

• Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
• 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 model validation to ensure data results are accurate
• Promote innovative ways to visualize and digest complex data
• Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
• Assist in ad-hoc research projects incorporating project design, data collection and analysis
• Monitor and validate model performance and update models as needed
• Gather and analyze data to determine impact to business operations

Qualifications

Knowledge and Skills

• Advanced knowledge of applied statistical methodologies
• Knowledge of quantitative, analytical and data mining
• Knowledge of SAS, Excel, Word and PowerPoint
• Knowledge of spreadsheet modeling and credit risk techniques
• Ability to coordinate and balance numerous tasks under pressure and meet deadlines
• Ability to identify and understand business issues and map these issues into quantitative questions
• Ability to identify emerging business issues and place them into quantitative questions
• Ability to interact collaboratively with internal customers and external vendors
• Process and model documentation skills
• Advanced quantitative skills and ability to apply complex econometric principles
• Advanced quantitative skills and ability to apply complex statistical principles
• Skills in R, STATA, SAS, JMP and/or Bloomberg terminal
• 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

Work Experience & Education

• 0-2 years of experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word preferred
• 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
• High School Diploma or equivalent required
• Bachelor’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required
• Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred

Benefits

• 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

Work Life Balance

• Flexible hybrid work environment, 2-days a week in office