Data Science Actuary

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