Risk Statistician

Job description

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. Responsibilities: About the role: In this role, you will support the development and monitoring of statistical forecasting models, leveraging data analysis and modeling techniques to evaluate portfolio performance and business impacts. You'll analyze complex data, validate model accuracy, create meaningful data visualizations, and communicate insights and recommendations to help drive informed business decisions. In this role you will: Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical toolsUtilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performanceEmploy best practices of data analysis and model validation to ensure data results are accuratePromote innovative ways to visualize and digest complex dataEffectively summarize and communicate analysis results, expectations, statistical methodology and results to managementAssist in ad-hoc research projects incorporating project design, data collection and analysisMonitoring and validating model performance and updating models as neededGathering and analyzing data to determine impact to business operations Qualifications: What makes you an ideal candidate? Knowledge and Skills Advanced knowledge of applied statistical methodologiesKnowledge of quantitative, analytical and data miningKnowledge of SAS, Excel, Word and PowerPointKnowledge of spreadsheet modeling and credit risk techniquesAbility to coordinate and balance numerous tasks under pressure and meet deadlinesAbility to identify and understand business issues and map these issues into quantitative questionsAbility to identify emerging business issues and place them into quantitative questionsAbility to interact collaboratively with internal customers and external vendorsProcess and model documentation skillsAdvanced quantitative skills and ability to apply complex econometric principlesAdvanced quantitative skills and ability to apply complex statistical principlesSkills in R, STATA, SAS, JMP and/or Bloomberg terminalUnderstanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus Additional Knowledge and Skills Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily workSkills in evaluating AI outputs for accuracy, compliance, and biasExperience integrating AI into workflows to improve efficiency or insightsFamiliarity with AI assisted research, summarization, and content generationUnderstanding of responsible AI use, including ethics and data protection 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 preferred0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferredHigh School Diploma or equivalent requiredBachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience requiredMaster’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 #LI-Hybrid #LI-TL1