Risk Statistician II

Why GM Financial?

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.

In this role you will:

• 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

What makes you an ideal candidate?

Knowledge and Skills

• 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
Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus

Work Experience & Education

• 2-4 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 required
• 2-4 years of experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
• 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 required
Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred

Working Conditions

• Normal office environment
Limited travel may be required to support business needs

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 office.

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions

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