Senior Analyst


Our client is looking to hire a Senior Analyst to join their team in London on a Permanent basis.

Ref: 49246

  • Location: London
  • Category: Life Actuarial
  • Type: Permanent
  • Pay Range: £50k - £70k


Key Duties:

  • Experience/Lapse Analysis:
    • Analyse data provided by clients, in order to more accurately assess business quality/risk for quotes and product development
    • Analyse internal data to contribute to MI, profitability analysis, client management and research
    • Identify appropriate external research and derive analyses from external data sets
    • Identify and help implement new methods of analysis, including GLMs and machine learning techniques
  • Research:
    • Contribute to the firm’s research activities and ad-hoc opportunities as required
    • Produce accurate documentation of research work carried out and help write reports and presentations to communicate findings both internally and externally
  • Customer Service:
    • Develop relationships and provide excellent customer service, both internally and externally to help deliver the company’s brand/plans
  • Change Management:
    • Pro-actively consider different ways of doing things to improve efficiency
    • Share knowledge within the Client Propositions teams but also, where appropriate, across the team
    • Present suggestions to develop new business opportunities or research work that may benefit them or their clients

Other Skills:

  • Excellent analytical skills
  • Self-motivation
  • Customer focus
  • Team work
  • Attention to detail
  • Excellent communication and interpersonal skills
  • English: Can lead discussions and negotiations at the highest level. Writes complex reports. Rarely makes grammatical mistakes

Qualifications required:

  • Nearly qualified/recently qualified actuary (non-actuaries will be considered provided they have excellent, proven data analytic skills and a willingness to learn about life insurance)

Experience required:

  • Knowledge of UK/Irish protection market
  • Knowledge of PROPHET
  • Knowledge of SAS
  • Knowledge of R
  • Knowledge of GLMs and machine learning techniques
  • Experience of working both within a team and as a self-motivated individual
  • Experience of analysing large data sets
  • Experience of mortality/morbidity/persistency analysis
  • Life insurance pricing experience
  • Experience of building machine learning algorithms to analyse large data sets


John Koehler

Business Manager – Life Actuarial

T: +44 (0)203 867 9830

Email me


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