Risk Statistician II

Why Risk Management - Portfolio Analytics at GM Financial? The Risk Management - Portfolio Analytics team at GM Financial is primarily responsible for analyzing and forecasting credit performance for the Global Consumer and Commercial portfolios. Team members develop and maintain analytical tools and forecast models to support various departments throughout the company, and the Executive Team. This group has high visibility with many other teams and senior leaders. Accuracy, attention to detail, working with complex data sets, and the ability to communicate results clearly are crucial in this team.

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

Experience & Education:

 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 the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word Req 2-4 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting Pref Bachelor's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience Required Master's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field

Preferred 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. Here we do more than work — we thrive.

Compensation:

Competitive pay and bonus eligibility.

Work Life Balance:

Flexible hybrid work environment, 2 days a week in the office. #LI-TL1 #LI-Hybrid  What makes you an ideal candidate? 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