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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

55

Mathematical Sciences

AI IMPACT
AI EXPOSURE TODAY55
20-YEAR SCENARIO
NOT A FORECAST93%
THE DOOR · ENTRY DIFFICULTY TODAYC
STARTING PAY£30,000 - £38,000
REGULATORY MOATThe law requires human oversight. That human could be you.

THE DOOR: ENTRY DIFFICULTY TODAY, graded A (easy) to E (extremely hard). A Careermash rule-of-thumb index built from our AI exposure index and the job's moat class. It is not a forecast and not a count of job openings.

AI EXPOSURE TODAY is a Careermash index from 0 to 100 of how exposed this job's everyday tasks are to AI today. We estimate it by matching published research on how people use AI to this job, usually by keyword or subject area, and we lower it where the work is protected (for example by physical, personal or legal requirements). It is not a direct measurement of how much people in this job use AI.

AI is doing more of the routine, the core still needs you
AI exposure is high here (55 on our index), but the law requires human oversight. That human could be you. That part is not going away. Get fluent with the tools, and lean hard into the part of the job that structurally needs a person.

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.