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(Senior) Longevity Research Analyst - Club Vita

TN United Kingdom

City of Edinburgh

On-site

GBP 40,000 - 80,000

Full time

19 days ago

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Job summary

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.

Qualifications

  • Strong technical skills and experience in data analysis.
  • Ability to work collaboratively and mentor team members.

Responsibilities

  • Deliver high-quality longevity research and analytics.
  • Support application and development of longevity analytics.

Skills

Data/Analytical Programming in R
Problem-Solving Skills
Project Management
Collaboration and Mentoring
Initiative on Projects
Longevity or Demography Experience

Job description

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(Senior) Longevity Research Analyst - Club Vita, Edinburgh

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

Job Description:

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:

  • Supporting the application and development of longevity analytics for new markets (including new countries)
  • Scoping and delivering market-leading longevity research and analytics under guidance from industry experts
  • Documenting research findings for internal use and client workshops
  • Generating thought leadership publications

Skills and Qualifications Required

Skills - critical:

  • Taking initiative on projects and seeking guidance proactively
  • Being a collaborative team player and mentoring less experienced members
  • Extensive experience in data/analytical programming in R
  • Strong problem-solving skills in data and analytics
  • Experience managing complex projects within strict deadlines in a commercial setting
  • Prior experience in longevity or demography

Personal Characteristics

  • Great attention to detail
  • Excellent communication skills for both specialist and non-specialist audiences
  • Ability to manage multiple competing deadlines
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