Environmental Statistician Jobs (NOW HIRING)

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.

What makes you an ideal candidate?

Knowledge and Skills

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

Work Experience & Education

• 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
• 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 office.

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

This position is not open to agency submissions

#GMFJobs

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
• 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