Risk Statistician

About the role

The Risk Statistician supports the portfolio forecasting team and provides statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This role focuses on assisting in the design and development of complex portfolio forecasting models, analyzing credit performance within the broader auto finance market, and developing and maintaining credit score-based loss models. These models support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses.

Responsibilities

• Aid 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 affecting 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.
• Absorb and analyze data to determine its impact on business operations.

Qualifications

• Advanced knowledge of applied statistical methodologies.
• Knowledge of quantitative, analytical, and data mining.
• Experience with SAS, Excel, Word, and PowerPoint.
• Ability to coordinate and balance numerous tasks under pressure and meet deadlines.
• Ability to identify and understand business issues and map them 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.
• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus.

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.
• 0-2 years experience in consumer loan or lease portfolio analysis, modeling, and/or forecasting.
• Bachelor’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research, or a similar quantitative field; degrees in non-quantitative fields considered with adequate work experience.
• Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research, or a similar quantitative field preferred.

What makes you an ideal candidate?

• Advanced knowledge of applied statistical methodologies.
• Knowledge of quantitative, analytical, and data mining.
• Experience with SAS, Excel, Word, and PowerPoint.
• Ability to coordinate and balance numerous tasks under pressure and meet deadlines.
• Ability to identify and understand business issues and map them 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.
• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus.

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.
• Compensation: Competitive pay and bonus eligibility.
• Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.