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Client:
Hymans Robertson
Location:
Birmingham, United Kingdom
Other
Yes
35288c8204ab
11
29.04.2025
13.06.2025
The Vacancy
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 show strong technical acumen, the ability to work collaboratively within a team, and be confident in pro-actively seeking support from experienced colleagues.
Role Description
The role will focus on delivering high-quality longevity research, thought leadership, and new analytics for use by our pension plan and life insurer clients. The primary focus will be on exploring new ideas and insights, which will form the foundation of new products or extensions of existing products into new markets. Application of statistical knowledge to create commercially focused insights will be key throughout your work.
You will be expected to work with R and be willing to use an extensive pre-built code base to ensure efficient and timely analysis.
The role involves working with internal stakeholders across statistical, actuarial, and business development roles. You should be comfortable presenting your work internally and to external clients/stakeholders. As the role grows, participation in industry forums is likely.
Key responsibilities will include:
Skills and Qualifications Required
Skills - critical:
Personal Characteristics