Sr Actuarial Analyst

    Highlights

    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. Experience applying advanced methods of probability and statistics, statistical modeling, data mining, machine learning, or deep learning techniques to solve business problems.

    Numbers & Facts

    LocationDetroit, MI

    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.

    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, 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-CR1

    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).

    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).

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