Senior Actuarial Analyst

Why GM Financial Protections? GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. Job Description Why GM Financial Protections? GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. 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. Responsibilities About the role: In this role, you will leverage advanced actuarial techniques, predictive modeling, and data analytics to solve complex business challenges and support strategic decision-making. You'll collaborate with cross-functional teams to develop analytical solutions, evaluate reserves, mentor junior analysts, and drive business performance through data-driven insights and innovation. In This Role You Will Applies actuarial models and methods of moderate to high complexity on an ad-hoc basis to solve business problems. Serves as subject matter expert for defined procedures of moderate to high complexity. Supports implementation and documentation of new and innovative advanced methods and models. Writes code of moderate to high complexity using SQL, Python, R or similar to query, calculate, transform, combine and visualize data. Performs EDA to verify adequacy of data for task and performs reasonability checks. Support the design, development and validation of predictive and prescriptive solutions with appropriate guidance to inform decisions and make recommendations. Pursue problem identification and impact across large data sets, leveraging statistical and visualization techniques to further enhance insight and internal performance optimization. Develop and build analytical solutions to solve ad-hoc business problems based on existing requirements, models, and methods. Perform ad-hoc assignments with minimal guidance required, taking reasonable measures to ensure accuracy, appropriateness, and completeness. Mentors and trains junior analysts. May lead team projects. Work with various functions, including finance, accounting, engineering, platform teams, R&D, IT, and others as required. Perform periodic reserve reviews (e.g. UPR, IBNR, cancellation). Qualifications What makes you an ideal candidate? Experienced with traditional methods for ratemaking, reserving, and other actuarial analyses. Experienced developing analytical solutions using R, Python or similar tools, such as reserving software. Mastery of data visualization techniques and modern interactive data visualization tools. Strong working knowledge of code-based data visualization. Experienced with querying, combining, and transforming complex data through SQL, Python, R or similar tools. Experience applying advanced methods of probability and statistics, statistical modeling, data mining, machine learning, or deep learning techniques to solve business problems. High-level organizational and project management skills in order to handle assignments in a timely manner and to monitor processes throughout a team or department. Strong decision-making and critical thinking skills. Strong oral and written communication, including active listening skills. Make effective presentations and recommendations to department, manager, and immediate executive. Effective collaboration with multi-disciplinary groups to achieve assigned objectives. Working knowledge of reserving software such as ResQ, Arius, etc. Working effectively within an AI enabled environment. Work Experience & Education Bachelor’s Degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or other quantitative field required. 3-5 years of experience with actuarial ratemaking and reserving, statistics, data science, and/or related quantitative experience required. Licenses and Certifications Associate of the Casualty Actuarial Society; may be actively pursuing Fellowship required 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, foster 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 #J-18808-Ljbffr GM Financial