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Actuary Interview Questions and Answers (2026, Entry Level to Experienced)

Actuarial interview questions with sample answers: why actuarial science, your exam progress and study plan, explaining actuarial concepts to non-actuaries, technical questions (present value, expected value, loss ratios, IBNR and chain ladder, credibility, GLMs, mortality tables), a claims-increase case, tools, behavioral questions, and what to ask about exam support.

By Amine Boukioud Updated 5 min read
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The short answer: actuarial interviews test four things: commitment to the exams (which ones you’ve passed and your plan for the next), technical foundations (probability, financial mathematics, and practice-area basics such as reserving or pricing), tools (Excel, SQL, and R or Python), and above all communication: can you explain a technical result to someone who isn’t an actuary? Prepare a clear “why actuarial” story, an honest exam timeline, two or three projects you can explain simply, and STAR stories about balancing study with work, catching an error and influencing a decision.

Sample answers are illustrations, not quotes from real candidates.

The role and the path

The U.S. Bureau of Labor Statistics reports a median annual wage of $130,000 for actuaries in May 2025, and projects employment to grow 9% from 2025 to 2035, much faster than average, with about 1,500 openings a year. Actuaries become credentialed through exams: the Society of Actuaries’ Associate (ASA) designation, for example, requires examinations, e-learning courses, validation by educational experience (VEE) credits and a professionalism seminar. Life, health and retirement actuaries usually follow the SOA path; property and casualty actuaries usually follow the Casualty Actuarial Society (CAS) path. Most candidates start with the probability (P) and financial mathematics (FM) exams.

Background questions

“Why do you want to be an actuary?”

“I studied math because I liked solving problems, but my internship at a health insurer showed me I wanted the problems to matter to people. I built a simple model of claim costs for a new plan, and seeing it used in a pricing decision is what made me want this career.”

“Which exams have you passed, and what’s your plan?”

Be precise and realistic: “I’ve passed P and FM, I’m sitting the next exam in [month], and I study about 15 hours a week.” Interviewers want commitment and planning, not speed at any cost.

“Why life (or P&C, health, pensions)?”

Connect the practice area to an experience or interest: long-term promises and mortality for life, frequent claims data and pricing for P&C, policy and cost trends for health.

“Explain what an actuary does to a 10-year-old (or a sales manager).”

“We use data about the past to estimate how much future events like accidents or illnesses will cost, so an insurance company can charge fair prices and keep enough money aside to pay every claim.”

Technical questions

  • “What’s the present value of $1,000 received in two years at 5%?” 1,000 / 1.05² = about $907. Expect follow-ups on annuities and discounting with different rates.
  • “What’s the expected value of a roll of a fair die?” (1+2+3+4+5+6) / 6 = 3.5. Probability puzzles test clear thinking out loud, not memorized answers.
  • “What is a loss ratio?” Incurred losses divided by earned premium. $65 million of losses on $100 million of premium is a 65% loss ratio; add expenses for the combined ratio.
  • “What is IBNR?” Incurred but not reported: claims that have happened but haven’t yet been reported, which must be reserved for.
  • “How does the chain ladder method work?” Arrange paid or reported claims in a development triangle by accident year and development period, calculate age-to-age development factors from history, and project immature years to ultimate. Know its assumptions (past development patterns continue) and when it fails (changes in claims handling, mix or inflation).
  • “What is credibility?” How much weight to give a group’s own experience versus a broader benchmark; more data means more credibility for the group’s own experience.
  • “Why use a generalized linear model (GLM) for pricing?” GLMs handle non-normal outcomes (such as claim counts and severity) and multiplicative rating factors, and their results are explainable to regulators and underwriters.
  • “What does a mortality table show?” The probability of death at each age, used to value life insurance and annuities. Expect a question on how you’d adjust a standard table for a specific population.

Case question: “Claims have risen 15% this year. How would you investigate?”

  1. Split it: is it frequency (more claims) or severity (bigger claims), or both?
  2. Segment: by product, region, channel, policy year and claim type, to find where the increase is concentrated.
  3. Check the data and process: changes in claims handling, reporting speed, coding or one-off large losses.
  4. Check external factors: inflation in repair or medical costs, weather events, legal changes.
  5. Conclude and recommend: whether it’s temporary or a trend, and what it means for reserves and pricing, explained in plain language.

Tools questions

  • “How have you used Excel, SQL, R or Python?” Give a concrete example: “I used SQL to pull five years of claims, R to fit a frequency model, and Excel to build the summary the pricing team used.”
  • “How do you check a model for errors?” Reconcile totals to source data, test with simple cases, review changes against expectations, and get a peer review.

Behavioral questions

  • “How do you balance exams with work?” A specific routine (early mornings, a study plan, protected time before exams) and how you kept work quality up.
  • “Tell me about a mistake in your analysis.” How you found it, told your manager, fixed it and changed your checks.
  • “Tell me about a time you explained a technical result to a non-technical audience.” The audience, how you simplified it (one key number, a chart, an analogy), and the decision it supported.
  • “Tell me about a time you disagreed with an assumption.” How you used data and stayed open to being wrong.

Questions to ask the interviewer

  • “What exam support do you offer, such as study time, exam fees and raises on passing?”
  • “How is work divided between modeling, analysis and communication in this team?”
  • “What does a typical first year look like, and how are new analysts trained?”

Related guides: underwriter interview questions, data scientist interview questions and risk manager interview questions.

Frequently asked questions

What questions are asked in an actuarial interview?
Why actuarial science, your exam progress and plan, why the practice area, explaining actuarial work simply, technical questions on present value, probability, loss ratios, IBNR, chain ladder, credibility, GLMs and mortality, a case question, tools, and behavioral questions about balancing study and work.
How do I answer "Which exams have you passed?"
Be precise and realistic: list the exams passed, the next one and its date, and your weekly study routine. Interviewers value commitment and planning.
What technical questions do entry-level actuaries get?
Probability and expected value, present value and annuities, simple statistics, and basic practice-area concepts such as loss ratios and reserves, often solved out loud.
How much do actuaries earn?
The U.S. Bureau of Labor Statistics reports a median annual wage of $130,000 for actuaries in May 2025.
What should I ask in an actuarial interview?
Ask about exam support (study time, exam fees, raises on passing), how work is split between modeling and communication, and how new analysts are trained.

Sources

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Amine Boukioud

Amine Boukioud is a co-founder of Beatview, Inc., the company behind Huru, and Head of Growth at Huru. He writes and reviews Huru’s interview guides; each one starts from primary sources such as employers’ own careers pages, official data and research, and follows Huru’s editorial policy.

Published · Updated

How this article was made: researched and drafted with AI assistance, then written, fact-checked and signed by Amine Boukioud on October 1, 2026. Sources are linked where they are used. How we work: editorial policy.

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