Insurance
Actuary Interview Questions and Answers
Actuaries are risk experts who use mathematics, statistics, and financial theory to analyse and quantify financial uncertainties. They work in insurance, pensions, and investments, designing models to predict and price risk.
20 practice questions with explanations and sample answers.
1. Why did you choose actuarial science?
What the interviewer is looking for
Show interest in combining maths, finance, and risk.
Sample answer
I enjoy using quantitative methods to solve practical business problems. Actuarial science lets me apply maths to manage financial risk.
2. What is your understanding of the actuarial exams and which have you passed?
What the interviewer is looking for
Mention SOA or CAS exams.
Sample answer
I have passed P, FM, and IFM, and I am currently studying for LTAM.
3. Explain the concept of expected value and its importance.
What the interviewer is looking for
Weighted average outcome used for pricing.
Sample answer
Expected value is used to estimate average claims or investment returns, fundamental for pricing insurance.
4. How do you build a model to forecast claim frequency?
What the interviewer is looking for
Use historical data, Poisson or negative binomial regression.
Sample answer
I analyse historical data, identify drivers, and use generalised linear models (GLMs) to forecast frequency.
5. Describe your experience with programming languages for modelling.
What the interviewer is looking for
R, Python, or SAS.
Sample answer
I am proficient in R and Python for data cleaning, modelling, and visualisation.
6. What is the difference between mortality and morbidity risk?
What the interviewer is looking for
Mortality – death; morbidity – illness.
Sample answer
Mortality risk relates to the probability of death; morbidity risk relates to illness and disability.
7. How do you handle data quality issues when building a model?
What the interviewer is looking for
Identify outliers, impute missing values.
Sample answer
I assess missing data, decide on imputation, and check for outliers using statistical tests.
8. Describe a time you explained complex actuarial concepts to non‑technical stakeholders.
What the interviewer is looking for
Use plain language and analogies.
Sample answer
I explained how pricing models work to underwriters using an analogy of a car accident frequency.
9. What is your experience with actuarial reserving methods?
What the interviewer is looking for
Chain‑ladder, Bornhuetter‑Ferguson.
Sample answer
I have applied chain‑ladder and Bornhuetter‑Ferguson methods to estimate reserves for property/casualty lines.
10. How do you incorporate investment assumptions into asset‑liability management?
What the interviewer is looking for
Use economic scenario generators.
Sample answer
I use stochastic models to project investment returns and ensure assets match liabilities over the long term.
11. What is the role of reinsurance in risk management?
What the interviewer is looking for
Transfer excess risk to another insurer.
Sample answer
Reinsurance protects against catastrophic losses and stabilises the company's financial position.
12. Describe a time you had to work with incomplete data to make a decision.
What the interviewer is looking for
Use conservative assumptions and sensitivity analysis.
Sample answer
I used expert judgement and benchmark data to approximate missing fields, and tested sensitivity.
13. What is your understanding of the actuarial control cycle?
What the interviewer is looking for
Analyse, model, monitor, review.
Sample answer
The cycle involves defining the problem, building a model, implementing, and reviewing for accuracy.
14. How do you stay current with regulatory changes in insurance?
What the interviewer is looking for
Follow NAIC, EIOPA updates.
Sample answer
I subscribe to actuarial newsletters and attend regulatory seminars.
15. What is your experience with capital modelling (e.g., Solvency II)?
What the interviewer is looking for
Use of internal models or standard formula.
Sample answer
I have participated in capital modelling using internal models, calibrating parameters for risk categories.
16. Describe a time you identified a pricing opportunity through analysis.
What the interviewer is looking for
Show data‑driven insight.
Sample answer
I segmented a portfolio and found a niche with low claims experience, enabling a premium reduction to gain market share.
17. What is your experience with machine learning in actuarial work?
What the interviewer is looking for
Predictive analytics, tree‑based models.
Sample answer
I have used random forests and XGBoost to improve predictive accuracy for lapse models.
18. Why do you want to work for our insurance company?
What the interviewer is looking for
Mention their market position or actuarial team.
Sample answer
Your company has a strong actuarial community and innovative pricing. I want to contribute to that.
19. What is your long‑term career goal as an actuary?
What the interviewer is looking for
Become a chief actuary or risk officer.
Sample answer
I aim to become a chief actuary, overseeing the entire risk and pricing function.
20. How do you handle pressure to produce results quickly while maintaining accuracy?
What the interviewer is looking for
Focus on key assumptions and document limitations.
Sample answer
I prioritise the most impactful variables, and I document assumptions clearly for review.