Senior Actuarial Analyst
Posted Sep 3, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a model you built. How did you make the assumptions clear and easy to change?
What they are checking: Whether they build flexible, transparent models others can review and update.
Where are you in your actuarial exams, and how do you balance study with work?
What they are checking: Whether they are making steady progress toward a credential while delivering at work.
How do you explain an actuarial finding to an executive who wants a quick answer?
What they are checking: Whether they can communicate clearly and briefly to senior stakeholders.
What would you do
Your savings estimate is much larger than expected. What do you check?
What they are checking: Whether they challenge their own results before presenting them.
A project lead wants a number by tomorrow that you think needs a week. What do you do?
What they are checking: Whether they can offer a reasonable estimate with caveats instead of a false sense of precision.
About the work
Walk me through how you would identify a savings opportunity using claims, eligibility and provider data.
What they are checking: Whether they can connect multiple data sources to find and size savings, as the posting describes.
How do you deal with data at different levels of granularity, such as claim line versus member month?
What they are checking: Whether they can join and summarize data without double counting or losing detail.
What drives healthcare cost trend, and how would you break a trend into its parts?
What they are checking: Whether they can separate utilization, unit cost and mix in trend analysis.
How would you estimate the savings from an external partnership, like a vendor program?
What they are checking: Whether they use a proper baseline and account for selection and trend effects.
How do you write SQL against a large relational database efficiently?
What they are checking: Whether they can work with big claims data without slow or wrong queries.
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Practice this out loudThe full job description
As published by Centene.