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Statistical Modeller

Location – London/Glasgow/Toronto

19 July 2022

The role:

As Club Vita expands its offerings across multiple regions and ventures into newer innovative areas, demands on our multi-disciplinary products/modelling teams are growing rapidly. Specifically, there is a need to deliver regular calibrations of core models and products across multiple regions, as well as developing and maintaining models and tools to support these offerings, and to form the backbone of our digital services going forward.

A strong background in statistical modelling/programming (R, Python or similar) is essential, along with practical experience of data analytics and a strong familiarity with good practices in writing sustainable code in a collaborative environment. Experience in the insurance or pensions industry and/or a background in longevity are highly desirable, as is experience in wider software practices such as API development, unit testing, interface building and app deployment.

Key responsibilities

We are currently hiring at various levels of experience (from entry-level to those with established experience).The responsibilities of the role will depend partially on the candidate, but will include a combination of:

  • Development and maintenance of a range of models and digital tools, used to deliver insights in a cost-effective way (primarily programming in R initially, but with growing exposure to a range of other languages)
  • Engagement with software engineers on integration of models in full-stack development
  • Involvement in the calibration and validation of mortality and longevity models (for each of UK, US and Canada) using a range of statistical techniques
  • Regular analysis of longevity trends and semi-regular calibration of in-house trend models
  • Communication with wider stakeholders on technical details and interpretation of model outputs
  • Research into new features, commercially focussed enhancements and innovations within existing models and products

The candidate:

To succeed in the role, you will be/have:

  • Demonstrable experience of statistical modelling/programming, preferably in R or Python with a willingness to learn both (essential)
  • Practical experience of data analytics (essential)
  • Familiarity with practices of writing sustainable and re-usable code (essential)
  • Experience in applying and communicating statistical results in a commercial environment (highly desirable)
  • Practical experience of the core concepts relating to mortality/longevity, particularly in a pensions / life insurance context (highly desirable)
  • Experience in wider software practices such as API development, unit testing and app deployment (highly desirable)
  • Demonstrable skills in statistical modelling either from education, previous employment, or private learning
Personal characteristics:
  • Collaborative team worker
  • Ability to apply analysis to real-world problems
  • Strong communicator; able to communicate technical results to non-specialist stakeholders
  • Open-minded approach to learning platforms and software
  • Ability to manage multiple competing deadlines

Company overview

Club Vita’s mission is to improve later life financial well-being by promoting awareness of longevity risk and making its management transparent and efficient.

We work primarily with workplace pension funds in the UK, Canada and the US. On their behalf, we facilitate the accumulation and pooling of data underlying the longevity patterns of retirees with annuity benefits. Club member pension funds and their advisors use our analytics to understand their emerging longevity patterns, to drive more informed strategic decisions and to embed best-practice risk-management into their governance frameworks.  We also support financial institutions that manage longevity risk: insurers, reinsurers and asset managers, helping them offer attractive longevity risk protection products in a tech-enabled, efficient manner. Our current community includes 400 pension funds, 7 pension advisory firms and 25 (re)insurers. Across our three clubs, we are tracking the survival patterns of a diverse population of over five million people with benefits in workplace pension plans. ​

Club Vita was born in the UK in 2008.  Our systems and processes have been developed by a multi-disciplinary team of over 50 employees across our three geographies, with a shared passion for “allowing the data to do the talking” by combining modern technology and statistical techniques.  Following a successful UK launch, we went on to build similar communities in Canada (2015) and in the United States (2019).   ​

Applying for this position

Club Vita is committed to an inclusive, diverse, and accessible workplace. We encourage all interested applicants to submit a cover letter and resume to [email protected] for consideration.

We thank all applicants for their interest, but only those selected for the short list will be contacted.

Meet the team

Club Vita could not deliver the vast array of statistical insights without our gifted team.