Salary Range: $110,000 to $140,000
Job Posting End Date: March 7,2026
We’ve Got You Under Our Wing
We are the duck. We develop and empower our people, cultivate relationships, give back to our community, and celebrate every success along the way. We do it all…The Aflac Way.
Aflac, a Fortune 500 company, is an industry leader in voluntary insurance products that pay cash directly to policyholders and one of America's best-known brands. Aflac has been recognized as Fortune’s 50 Best Workplaces for Diversity and as one of World’s Most Ethical Companies by Ethisphere.com.
Our business is about being there for people in need. So, ask yourself, are you the duck? If so, there’s a home, and a flourishing career for you at Aflac.
Worker Designation – This role is hybrid. This means you will be expected to report to one of our Aflac offices located in Columbus, GA for at least 60% of the work week. You will work from your home (within the continental US) for the remaining portion of the work week. Details of this schedule will be discussed with your leadership.
Job Summary
Located in the U.S., this experienced modeler role performs varied actuarial services including coding, building and maintaining actuarial models for pricing, reserving, forecasting, embedded values and capital calculations for Aflac Re Bermuda LTD (Aflac Re), a Bermuda domiciled insurer that provides reinsurance solutions. This role is expected to ensure accuracy and reasonability of the outputs from the models and is capable of customizing reports and analysis to explain the results at the level that is suitable for senior management. The role is expected to recommend and implement enhancements to improve efficiency, documentation and model governance.
This role reports to the Aflac Re Chief Actuary.
With minimal supervision, the candidate is expected to code, parametrize, and utilize actuarial models to solve problems which may include: pricing, reserving/reserve testing, experience studies, business planning, or capital planning, and analyzes output from models for reasonability and generates reports. The candidate should make adjustments and improvements to models, when appropriate and draws on extensive experience and judgment to plan and accomplish goals.