Risk Statistician II

About The Role

• 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
• Conduct ad hoc research projects incorporating project design, data collection and analysis
• May provide direction, training, and guidance to less experienced statisticians and lead projects or assignments as required

• Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, statistical principles, and sophisticated statistical modeling techniques
• Advanced with Microsoft Excel, PowerPoint, and Word
• Experience with data analysis and spreadsheet modeling and/or reporting
• Experience with coding (SAS or SQL preferred) for data mining and transformation in a data warehouse environment, and for statistical modeling and analysis
• Demonstrated quantitative skills and ability to apply complex statistical principles
• Effective written and verbal presentation skills
• Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
• Ability to identify and understand business issues and map them into quantitative question
• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus

• 2-4 years 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 SAS and/or SQL, Microsoft Excel, PowerPoint, and Word
• 2-4 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting
• 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 is preferred

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.

Competitive pay and bonus eligibility.

Flexible hybrid work environment, 2 days a week in the office.