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Non-life Reinsurance Pricing Actuary

United Kingdom, London · Job Posted May 16, 2026
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Job Description

Be at the forefront of non-life reinsurance pricing. Are you a part-qualified GI actuary, looking to develop your pricing career within a major global reinsurer? Then this is a fantastic opportunity to join a leading-edge employer which fosters continuous learning and innovation where you will perform qualitative and numerical analysis on Casualty deals, leading to underwriting recommendations. Collaborating with the actuarial teams across the global casualty organisation, you will also communicate pricing results effectively to underwriters and senior management. In addition, you will assist on portfolio-wide and class-specific projects, all the while using bespoke pricing tools to help improve the selection and pricing of risks. With proficient knowledge of probability and statistics, the successful candidate will have strong analytical skills and the well-honed ability to approach complex problems in a logical, structured way. Programming knowledge is desirable (e.g. R, Python, SQL, or VBA), with a focus on data manipulation and automation particularly attractive. An exciting opportunity to be at the forefront of dynamic reinsurance pricing.

Job Responsibility

  • Perform qualitative and numerical analysis on Casualty deals
  • Lead to underwriting recommendations
  • Collaborate with actuarial teams across global casualty organisation
  • Communicate pricing results effectively to underwriters and senior management
  • Assist on portfolio-wide and class-specific projects
  • Use bespoke pricing tools to help improve selection and pricing of risks

Requirements

  • Part-qualified GI actuary
  • Proficient knowledge of probability and statistics
  • Strong analytical skills
  • Well-honed ability to approach complex problems in a logical, structured way
  • Programming knowledge desirable (e.g. R, Python, SQL, or VBA)
  • Focus on data manipulation and automation particularly attractive

Nice to have

  • Programming knowledge (e.g. R, Python, SQL, or VBA)
  • Focus on data manipulation and automation

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