Risk Statistician II

GM Financial•Fort Worth, TX

22h•Hybrid

About The Position

GM Financial is the wholly owned captive finance subsidiary of General Motors, headquartered in Fort Worth, U.S. It is a global provider of auto finance solutions with operations in North America, South America, and the Asia Pacific region. Through long-standing relationships with auto dealers, GM Financial offers attractive retail financing and lease programs, as well as commercial lending products to help dealers finance and grow their businesses. The company fosters a culture that welcomes new ideas, integrity, and a sense of community and belonging, aiming for team members to thrive. The purpose of GM Financial is to pioneer innovations that move and connect people to what matters. In this role, the Risk Statistician II will assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools. This involves utilizing data mining and advanced spreadsheet/technical skills for complex forecasting, modeling, analysis, and reporting related to factors affecting portfolio performance. The position requires employing best practices of data analysis and model validation to ensure accuracy, promoting innovative data visualization, and effectively communicating analysis results, expectations, and statistical methodology to management. The role also includes conducting ad-hoc research projects, encompassing project design, data collection, and analysis.

Requirements

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
Acute attention to detail
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 questions
2-4 years of experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling
Proficiency with SAS and/or SQL, Microsoft Excel, PowerPoint, and Word
High School Diploma or equivalent
Bachelor’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience

Nice To Haves

Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
2-4 years of experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred

Responsibilities

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