Location
Chesterfield, MO | United States
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
Job tags
Salary
