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Longevity Actuary – 28502

The Emerald Group

Greater London

On-site

GBP 80,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a qualified actuary to lead innovative projects in longevity and mortality. This role involves conducting in-depth research, managing stakeholder relationships, and overseeing the technical implementation of models. You will play a pivotal role in developing longevity risk calibrations and conducting mortality analysis, contributing to thought leadership in the actuarial field. Join a dynamic team that values expertise and innovation, and take the next step in your actuarial career with a company dedicated to excellence in the life insurance sector.

Qualifications

  • Experience in longevity research and risk calibrations.
  • Understanding of capital modelling and profit testing.

Responsibilities

  • Lead projects on longevity and mortality, including research and analysis.
  • Oversee technical aspects of models and experience analysis.

Skills

Longevity Risk Management
Mortality Analysis
Stakeholder Management
Capital Modelling
Assumption Setting
Technical Modelling

Education

Qualified Actuary
Degree in Actuarial Science or related field

Job description

Leading projects related to longevity and mortality, assumption setting, longevity risk, and capital models.

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

Key Duties (Including but not limited to):

  • Taking charge on various areas of thought leadership – longevity, annuities, etc.
  • Conducting longevity research.
  • Development and maintenance of longevity risk calibrations for Partial Internal Model.
  • Overseeing some of the technical aspects of models and experience analysis – development, implementation, calibration, testing.
  • Acting as a Qualified Actuary.
  • Having experience of working within the Actuarial Function of a UK Life assurer.
  • Managing stakeholders at all levels.
  • Understanding capital modelling and profit testing.
  • Conducting mortality analysis and assumption setting.
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