Why Global Business Lending Risk at GM Financial? The Global Business Lending Risk team at GM Financial operates on multiple fronts. First, the team is dedicated to helping decision makers navigate lending risks by providing insights on a wide-ranging variety of topics such as economics and performance trends across markets in North and South America. Second, the team manages the retail and lease lifecycle on business borrowers by monitoring trends on customer behaviors, industry practices, and various other attributes related to the portfolio. Third, the team is engaged in working with operations and IT to implement strategic initiatives that provide value to customers and efficiencies to the enterprise. Working in this environment requires attention to detail and accuracy due to the evolving nature of the auto industry and the strict financial regulations. A creative mindset is paramount for this role. If you are creative, detail oriented, have a love for collaborating with global partners, and problem solving to provide valuable insights, this is the right fit for you. This position will be posted until filled. About the role The Manager - Commercial Modeling and Advanced Analytics is responsible for all aspects of non-general population portfolio management and risk mitigation. This role interfaces with Senior Management, Sales, Legal and Executive Leadership to develop appropriate corrective actions plans that result in minimal losses to GM Financial. Performs research, analysis, and modeling on organizational data Assists in analyzing key metrics and performing data analysis Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Presents findings and analysis for use in decision making Ensures that the delivered products meet the business needs of the company Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership Prioritizes tasks and meets project deadlines in a fast paced work environment. Education & Work Experience 2+ years Statistician or similar quantitative field required Master's Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, or similar quantitative field required Additional Knowledge and Skills Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection

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 per week in the office This position is not open to agency submissions #GMFJobs #LI-hybrid #LI-CH1 What makes you an ideal candidate? Ability to identify and understand business issues and map these issues into quantitative questions Advanced knowledge and demonstrated understanding of applied methodologies including logistic regression, sampling methodologies, categorical data analysis, and decision trees Advanced skills in SAS, SQL, Excel, Word, PowerPoint required Ability to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques Efficiently work with large datasets Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems Ability to identify and seek needed information/research skills Analytical thinking and strong problem solving skills Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure