Actuarial Associate, UK
We’re looking for a technically savvy Actuarial Pricing Associate to join the UK team and support pricing adequacy, accuracy, and competitiveness of our European products. You will contribute your actuarial expertise as part of an interdisciplinary team that includes data scientists, insurance Product and Underwriting professionals. Working in collaboration, you’ll help develop and implement new pricing capabilities that blend actuarial approaches with predictive modeling, machine learning, and artificial intelligence.
In this role you’ll
Support the pricing processes for the UK market, including price making, modeling, implementation, and pricing strategy
Balance rating accuracy and profitability with price comparison website competitiveness
Contribute to building the pricing machine enables speed to market and competitive advantages
Support development of pricing for new products and add-ons
Identify optimal areas for pricing and underwriting action based on ongoing monitoring of the data
Further your actuarial education through industry research and stay on top of changing regulatory requirements
What you’ll need
At least 3- 5 years of non-life non-pet actuarial experience
Commitment in obtaining FIA (Fellow of the Institute of Actuaries) or FFA (Fellow of the Faculty of Actuaries)
Ability to work in an office environment (London)
Master’s degree in mathematics / econometrics / actuarial science / related field preferred
Personal lines experience required
Price comparison website (PCW) and/ or commercial pricing experience is an advantage
General knowledge of data science programming languages such as Python (preferred) or R, and in database query tools such as SQL. Broad understanding of predictive modeling with focus on supervised models and affinity with unsupervised learning technics
Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture
Source: the employer's careers page. Last checked 2026-10-29. Posted 2026-10-29.
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