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Reserving & Portfolio Analytics Actuary

Job Description - Reserving & Portfolio Analytics Actuary

Our client is a leading investment and underwriting organisation specialising in catastrophe reinsurance and specialty risk. Their group operates globally with the London-based syndicate management arm overseeing three one of the largest catastrophe syndicates in the market. They are seeking a nearly or newly qualified actuary (approx. 2–4 years’ experience) to join their Actuarial & Exposure Management team.

Role & Responsibilities:

Reserving & Valuation

    • Lead quarterly reserving activities, including RITC margins, Solvency II technical provisions, and monthly roll‑forwards
    • Present results to the Reserving Committee
    • Perform valuation duties for the Specialty fund
    • Troubleshoot/debug SQL‑based reserving and calculation engine scripts
    • Collaborate with Finance to align financial and actuarial results
    • Partner with Claims and Underwriting to understand deal performance
    • Work closely with valuation teams across the wider group
    • Assist in reserve risk parameterisation and review
    • Support auditors and SAO actuaries
    • Conduct the triennial internal audit review of reserving processes

Portfolio Analytics

    • Provide performance insights to the Syndicate Management Committee
    • Build self‑serve dashboards to enhance business visibility
    • Assist with renewal discussions and pricing parameterisation

Other Responsibilities

    • Contribute to pricing, capital modelling, and other analytical functions as needed
    • Expand your remit across new and emerging business areas

Skills Required:

  • Nearly or newly qualified actuary (approx. 2–4 years’ experience)
  • Strong academic background (numerical degree, minimum 2:1 or equivalent)
  • Maths/Statistics A‑Level (or equivalent)
  • Advanced Excel skills; some coding/debugging experience
  • Preferably some reserving experience
  • Desirable: SQL and Power Query experience
  • Willingness to develop skills in Power BI and R or Python
  • Ability to work from the London office most days

Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted.

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