Risk Statistician

GM Financial•Fort Worth, TX

2d•Hybrid

About The Position

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters This position will be posted until filled.

Requirements

Advanced knowledge of applied statistical methodologies
Knowledge of quantitative, analytical and data mining
Knowledge of SAS, Excel, Word and PowerPoint
Knowledge of spreadsheet modeling and credit risk techniques
Ability to coordinate and balance numerous tasks under pressure and meet deadlines
Ability to identify and understand business issues and map these issues 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
Skills in R, STATA, SAS, JMP and/or Bloomberg terminal
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 preferred
0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
High School Diploma or equivalent required
Bachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required

Nice To Haves

Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
Master’s Degree 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
Assist in ad-hoc research projects incorporating project design, data collection and analysis
Monitoring and validating model performance and updating models as needed
Gathering and analyzing data to determine impact to business operations