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    Data Science Actuary - Chesterfield, United States - Kalos Consulting, Inc.

    Kalos Consulting, Inc.
    Kalos Consulting, Inc. Chesterfield, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    Company Highlights

    • Since its establishment over 45 years ago, our client has become a leader in the global life reinsurance industry. They deliver expert solutions in individual life reinsurance, group reinsurance, financial solutions and more.
    • A Fortune 250 firm and recognized by the Asia Insurance Review as "Life Reinsurer of the Year".
    • Unique to the industry, this firm is run by Actuaries and employs over 750 Actuaries on staff.

    Benefits and Features

    • Competitive compensation
    • Health and welfare insurance
    • Retirement benefits
    • Paid Time Off
    • Education Assistance
    • Employee Engagement Program
    • Bonus opportunities and more

    The Role You Will Play

    • The Data Science Actuary will provide actuarial and analytical expertise to support the development or enhancements of commercial data-solutions.
    • This role will lead, design, create and interpret end-to-end GLM's with a typical focus on risk scores.
    • The Data Science Actuary will evaluate new external data sources and explore new applications of non-traditional data sources for the firm and its clients.
    • This role is entrusted to enhance the firm's advanced analytics capabilities through the innovative application of cutting-edge techniques to generate novel business insights.

    Community Highlights

    • This opportunity is based in Saint Louis, Missouri, at the company's corporate office - an exceptional office space with state-of-the-art fitness center and a variety of options for dining.
    • Saint Louis offers a culture of innovation and excellence paired with historic and iconic city sights.
    • With an affordable cost of living, Saint Louis is a great place to live.

    Background Profile

    • 6+ years actuarial experience in life insurance/reinsurance
    • Expertise in statistical modeling for insurance or related applications (Regression, Decision Trees, Time Series, etc.)
    • Experience as a project lead with supervisory and/or management experience
    • FSA accreditation
    • Bachelor's degree in Math, Finance, Actuarial Sciences, Statistics, or related field
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