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Lead Experience Analyst - Logevity

  • Location:

    London

  • Sector:

    Life Insurance

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Damian Bialozynski

  • Contact email:

    Damian.Bialozynski@oliverjames.com

  • Job ref:

    JOB-102023-227490_1712565513

  • Published:

    21 days ago

  • Expiry date:

    2024-05-08

A global leader in Re(insurance) is seeking to appoint a Lead Longevity Analyst into their growing team. Having already bolstered the team with a number of key hires across Longevity, the team are now looking to appoint this individual to play a key role in allowing the business to maintain their commercial market advantage. You will have between 0-5 years PQE experience.

Key Responsibilities

  • Ensuring all Longevity related deliverables the team is responsible for are produced to a high standard and within agreed timescales
  • Improving processes and building tools to support digitisation, experience analyses and pricing capability
  • Checking and reviewing experience analyses for the Longevity business and ensuring results of investigations are appropriately fed back to relevant stakeholders for the purposes of quotes, terms of trade and valuation assumptions
  • Ensuring client and internal policy data is used effectively to enable and perform efficient experience analyses
  • Input into the planning of work within the team. Liaising with other departments (mainly the Pricing and Longevity teams) to ensure the right balance is achieved between the speed of delivery and scope of work required
  • Direct line management and responsible for helping to develop all individuals within the team by setting expectations, providing feedback, and supporting development needs
  • Ensuring systems and tools related to the Longevity processes and experience analyses are maintained

Essential

  • Experience and/or familiarity with Longevity as a business line, and more technically from an experience analysis perspective
  • Strong analytical skills that can be applied to data to make sense of what is happening within the organisation and its client's businesses.
  • Advanced user of Microsoft Excel and Access and good understanding of R, Python and/or SQL
  • Ability to communicate clearly and appropriately with a variety of audiences
  • Ability to work on own initiative
  • Good organisational and planning skills with the ability to think laterally as well as logically

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