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One of our key clients, a leading Longevity data analytics company, are seeking a Longevity Analyst to accommodate the growth they are currently experiencing.

The Longevity Analyst will sit within the Statistical Team, to deliver regular calibrations of core models and products, and to design and develop processes and models to drive continuous improvements.

Key Responsibilities of the Longevity Analyst:

  • Calibration of baseline mortality models
  • Model validation
  • Communicate with wider stakeholders on technical details and interpretation of model outputs

Desirable Skills and Requirements of the Longevity Analyst:

  • Statistical modelling and date analysis experience
  • Knowledge of Mortality/Longevity
  • Experience in R, or a similar statistical language

The recruitment of a strong Longevity Analyst is of the highest importance to our client who is looking to conduct interviews as soon as possible.

If you are excited about the prospect of becoming a Longevity Analyst then please apply with your CV below.

Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. We can adapt our processes to accommodate everybody, so please let us know how we can help improve your recruitment experience. Please note, our advertisements use years’ experience, hourly rates, and salary levels purely as a guide based on the specific skills set out in the advert. We are happy to consider applications from all candidates who can demonstrate the skills necessary to fulfil the role. Our Consultants assess based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice which can be found in the footer on our website.

  • Job Type: Experienced Job
  • Experience Level: Part Qualified (1-10 exams)
  • Job Reference: 181223JD_1702895488
  • Location: London
  • Contract Type: Permanent
  • Employment Type: Full Time
  • Salary: + Study Support & Strong Benefits
  • Start Date: Immediate
  • Date Posted: 10 Jan 2024
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