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Actuary, Assumption Development, R&D

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: The Emerald Group
Full Time position
Listed on 2026-09-24
Job specializations:
  • Insurance
    Actuary
  • Finance & Banking
    Actuary
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Actuary, Assumption Development, R&D – 30117
Location: Greater London

In this role, you’ll work across both Longevity and Protection markets, giving you diverse exposure and the opportunity to make a real impact. You’ll contribute to developing the actuarial bases that set their best estimate assumptions — guiding work from initial data analysis through model fitting, validation, and final approval. Previous experience with actuarial techniques like Generalised Linear Models and Survival models would be an advantage.

  • Location: London
  • Category: Life Actuarial
  • Type: Permanent

Key responsibilities (including but not limited to):

  • Contribute to the development of market-leading assumptions by sourcing data, building models, and bringing innovative approaches to assumption setting
  • Provide robust challenge to assumptions and approaches adopted by Pricing
  • Build effective working relationships with stakeholders across the company, to support alignment and understanding of technical recommendations
  • Support actuarial research initiatives, including contributing to internal analysis, thought-leadership work, and engagement with academic partners
  • Provide guidance and mentoring within the R&D team, supporting the development for junior team members
  • Nearly qualified or qualified Fellow of the Institute or Faculty of Actuaries or Society of Actuaries or other similar organisation
  • Strong analytical skills and problem-solving abilities
  • An understanding of one or more of the markets they operate in (Longevity or Protection reinsurance)
  • Familiarity of experience studies, trend modelling, and pricing within the life insurance industry (including reinsurers, insurers and consultancy)
  • Competent in using programming languages (e.g. SQL, R or Tyche)
  • Knowledge of actuarial techniques such as Generalized Linear Models and Survival Models
  • Ability to collaborate with strong team-working and interpersonal skills
  • Experience in presenting to varied audiences on technical topics to gain approval
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