Risk Statistician

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.
• Promote innovative ways to visualize and digest complex data.
• Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management.
• Affiliate in ad-hoc research projects incorporating project design, data collection and analysis.
• Maintain and validate model performance, and update models as necessary.
• Gather and analyze data to determine impact on business operations.

Qualifications

• Advanced knowledge of applied statistical methodologies.
• Knowledge of quantitative, analytical, and data mining.
• Knowledge of SAS, Excel, Word, and PowerPoint.
• Spreadsheet modeling and credit risk techniques.
• Ability to coordinate and balance numerous tasks under pressure and meet deadlines.
• Identify and understand business issues and map these into quantitative questions.
• Identify emerging business issues and place them into quantitative questions.
• 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.
• Experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; proficient with SAS and/or SQL, Microsoft Excel, PowerPoint, and Word.
• Experience in consumer loan or lease portfolio analysis, modeling, and/or forecasting.
• 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.
• Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research, or similar quantitative field preferred.

What We Offer

• Generous benefits package available on day one including: 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.
• Flexible hybrid work environment, 2-days a week in office.

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. Here we do more than work — we thrive.

Compensation

Competitive pay and bonus eligibility.