Actuarial Analyst Interview Questions UK: 8 Real Questions and What Interviewers Want

Before your Actuarial Analyst interview, it helps to see the questions from the interviewer's side. We have picked eight from our set of 25 and added the reason each one gets asked.

Eight Actuarial Analyst interview questions, and what the interviewer is thinking

1. Why do you want to be an actuarial analyst?

Why they ask: They want to see you understand the profession, the exam commitment and why you are drawn to it.

2. What is the difference between a generalised linear model and a simple linear regression, and why are GLMs used in insurance pricing?

Why they ask: GLMs underpin general insurance pricing and are a standard test for analysts.

3. What is IBNR, and how would you estimate it using the chain ladder method?

Why they ask: Reserving is core to actuarial work, and chain ladder is the standard starting technique.

4. You are asked to update a pricing model and notice the data extract has unexpected spikes in claims for one month. What would you do?

Why they ask: Data quality checking is a daily part of analyst work.

5. Explain how you would build and check a model in Excel, and where would you use R or Python instead?

Why they ask: Analysts need practical tool skills and good model controls.

6. What is the Solvency Capital Requirement under Solvency UK, and how is it calculated?

Why they ask: Capital modelling knowledge is expected from anyone working at an insurer.

7. A senior actuary asks you to produce analysis by the end of the day, and halfway through you realise you may have used the wrong assumption set. What would you do?

Why they ask: They want honesty, speed and sensible escalation under time pressure.

8. Tell me about a time you analysed a large dataset and presented findings to someone who wasn't technical.

Why they ask: Analysts must translate numbers into messages the business can act on.

A sample answer to question 1

Why do you want to be an actuarial analyst?

I've always enjoyed using maths to solve practical problems, and actuarial work is where that has the most tangible impact. During my degree in mathematics with statistics, my favourite module was survival models, where we used data to estimate how long people live and what that means for pricing a policy or funding a pension. What attracts me is that the work sits between rigorous technical analysis and real business decisions, such as how much capital an insurer needs or whether a product is priced fairly. I also like that it's a structured profession. I know the Institute and Faculty of Actuaries exams are demanding, but I've already passed CS1 and CM1, and I enjoy the discipline of studying alongside work. Finally, I like that analysts get early exposure to real data and tools like R, Python and Excel while learning from qualified actuaries, which is the best way to develop.

Common mistake to avoid: Saying you just like maths; underestimating the exam workload

Want the rest?

Full model answers, key points and common mistakes for all 25 questions are on the Actuarial Analyst interview questions page. The first five are free, no sign-up needed.