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An established industry player in longevity data analytics is seeking a (Senior) Longevity Research Analyst to join their dynamic team in Edinburgh. This role offers a unique opportunity to contribute to innovative research and analytics for pension plans and life insurers. The ideal candidate will leverage their extensive experience in R programming and analytical skills to generate valuable insights and support the development of new products. With a focus on collaboration and thought leadership, this position promises to be both challenging and rewarding, making a significant impact in the field of longevity research.
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Client: Hymans Robertson
Location: Edinburgh, United Kingdom
Job Category: Other
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EU work permit required: Yes
Job Reference: 75435e3b8f50
Job Views: 9
Posted: 26.04.2025
Expiry Date: 10.06.2025
The Vacancy
Background
is the leading longevity data analytics company servicing the UK, US and Canadian life insurance and pension risk transfer markets. Established in 2008, we have led the market in collecting and analysing detailed data on pension recipients – initially in the UK before expanding to Canada in 2015 and the US in 2019.
We are recognised thought leaders in longevity and have developed market leading analytics products including multivariate models of mortality/longevity and depersonalised data solutions based on data covering over 20m pension records.
We continue to experience 20%+ year on year revenue growth through an expanding international client-base and suite of data analytics products.
We are looking for an enthusiastic individual to join our team of recognised experts in longevity. The successful candidate will demonstrate strong technical skills, collaborate effectively within a team, and proactively seek support from experienced colleagues.
Role Description
The role focuses on delivering high-quality longevity research, thought leadership, and new analytics for pension plan and life insurer clients. The main goal is to explore new ideas and insights, forming the basis for new products or extensions into new markets. Applying statistical knowledge to create commercially focused insights is essential.
You should be comfortable working with R and willing to utilize an extensive pre-built code base for efficient analysis production.
The role involves working with internal stakeholders across statistical, actuarial, and business development areas. Presenting work internally and to external clients/stakeholders is expected, and participation in industry forums is likely as the role develops.
Key responsibilities include:
Skills and Qualifications Required
Skills - critical:
Personal Characteristics