Actuary - Life Experience Studies & Assumption Setting - Remote
As a team member in Finance at Nationwide , a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide ®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.
Make your actuarial expertise visible where it matters most.
Nationwide Financial is seeking an Actuary to help shape life insurance assumptions that inform pricing, product strategy, risk management, and business decisions. In this high-impact role, you’ll own meaningful experience-study work from data through recommendation, partner with actuarial leaders and the assumption council, and translate complex analysis into clear actions.
This is an opportunity to combine rigorous actuarial analysis with business influence, modern data practices, and practical innovation. You’ll join a collaborative team that values sound judgment, continuous improvement, and a healthy balance between established processes and new ideas.
What you’ll own
-
Lead life insurance experience studies and assumption-setting activities, including data analysis, controls, documentation, interpretation, and recommendations.
-
Take ownership of a major life assumption through the annual assumption unlock cycle, with support and oversight from experienced team members.
-
Present recommendations to the assumption council and communicate insights clearly to both technical and non-technical audiences.
-
Investigate experience trends and help identify opportunities to support pricing, product decisions, risk analysis, and business growth.
-
Build, maintain, and improve actuarial models, testing tools, data processes, and reporting solutions.
-
Partner with actuarial, finance, product, technology, and other business teams to develop new processes and strengthen existing ones.
-
Help advance responsible AI use in actuarial work, including data transformation, documentation, control testing, quality checks, and analysis support.
What makes this opportunity different
-
Business impact: Your recommendations will help shape assumptions and decisions across Nationwide Financial’s life insurance business.
-
End-to-end ownership: You’ll move beyond producing analysis to investigating the story in the data, applying judgment, and influencing the recommendation.
-
Modern actuarial practice: The team is actively improving data structures, automation, controls, visualization, and responsible AI-enabled workflows.
-
Work-life balance: Choose a fully remote work arrangement or work from Nationwide ’s Columbus, Ohio headquarters.
What you’ll bring
-
FSA credential, or progress toward FSA with the experience and judgment to perform at the appropriate level.
-
Approximately seven or more years of actuarial experience, or an equivalent combination of actuarial education and relevant experience.
-
Strong experience with actuarial analysis, statistical methods, data interpretation, modeling, and assumption development.
-
The ability to make thoughtful decisions when data is incomplete, ambiguous, or evolving.
-
Excellent written and verbal communication skills, including confidence presenting recommendations in one-on-one and group settings.
-
Experience with SQL, Excel, VBA, Access, Tableau, Power BI, or comparable actuarial, analytical, and data-visualization tools.
-
Life insurance experience is valuable but not required. Experience with universal life, secondary guarantees, or related life products is a plus.
-
A collaborative, curious, and adaptable approach, with the ability to work independently and build strong partnerships across the organization.
If you enjoy turning experience data into decisions, communicating actuarial insight with influence, and helping modernize how actuarial work gets done, we’d like to hear from you.
Job Description Summary
Our
Get remote jobs like this by email
One weekly digest. No spam, unsubscribe anytime.