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CAREERMASH (EN)FROM MATHEMATICAL SCIENCES →

Actuary

Actuaries use maths and statistics to work out the likelihood of events like illness, accidents or death, then use that to help insurance companies and pension funds make safe financial plans.

Actuary

38

Mathematical Sciences

AI IMPACT
AI CAN DO38%moving to80%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£30,000 - £38,000
REGULATORY MOATThe law requires human oversight. That human could be you.
This job holds up well against AI
AI cannot yet do much of what this job actually involves, and the law requires human oversight. That human could be you. That is about as safe as careers get right now, though it is still worth learning to use the tools well.

The role

As an actuary or actuarial analyst, you use maths and data to help insurance and pension companies make decisions. You look at past data (how many car accidents happen, how long people usually live), use probability and statistics to predict the future, then build financial models to work out what money companies should charge for insurance or save for pensions. You're basically answering the question: 'If we don't know what will happen, how much money is safe to hold back?'

Your work is mostly computer-based and office-based, using specialist software to analyse huge amounts of data and build mathematical models. You'll work with other departments - explaining to bosses what your numbers mean, checking that regulations are being followed, and presenting your findings so non-mathematicians can understand them. You need to be good with numbers and enjoy problem-solving, but you also need to explain complex ideas simply. You'll study for professional qualifications whilst working, which takes several years but leads to well-respected credentials.

Daily responsibilities

  • Conduct detailed statistical analyses to evaluate financial risks and uncertainties.
  • Develop mathematical models to predict future events and their financial implications.
  • Collaborate with underwriters and financial analysts to set premiums and reserves.
  • Prepare and present reports that communicate complex actuarial concepts to non-specialists.
  • Monitor and review financial data to ensure compliance with regulatory requirements.
  • Utilize software tools and programming languages for data analysis and modeling.
  • Participate in strategic planning sessions to advise on risk management and financial strategies.

Does a degree help here?

A UK degree, particularly in mathematical sciences, provides a robust foundation in analytical thinking and problem-solving, which are crucial for success in actuarial roles. UK universities are renowned for their rigorous academic standards and strong links to the industry, giving graduates a competitive edge in the job market.

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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