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Longevity Modeller
2 months ago
Our client is the leading longevity data analytics company servicing the UK, US and Canadian life insurance and pension risk transfer markets. Established in 2008 they 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.
If you think you are the right match for the following opportunity, apply after reading the complete description.
Our client is recognised thought leaders in longevity, and they have developed market leading analytics products including multivariate models of mortality/longevity and depersonalised data solutions based on data covering over 20m pension records.
They continue to experience 20%+ year on year revenue growth through an expanding international client-base and suite of data analytics products.
Our client is looking for an enthusiastic individual to join their team of recognised experts in longevity. The successful candidate with show strong technical acumen, the ability to work collaboratively within a team and be confident in pro-actively seeking support from experienced colleagues.
High level overview of role:
You will collect and process large amounts of pension scheme mortality data. The data is then used to build models and data products which are licensed by a wide range of pension schemes and insurers.
Throughout your work the application of analytical/statistical knowledge to create commercially focussed solutions will be key.
You will work primarily with R to identify and develop sustainable, repeatable, solutions to problems. You will also engage with the team’s evolving modelling suite and digital platform to ensure the solutions you develop have wide application across our client base. This is likely to involve exposure to additional coding languages over time (e.g. Python).
The role will involve working with internal stakeholders across a range of statistical, actuarial and developer experience to develop your solutions.
Key responsibilities will include:
- Helping the team to maintain and enhance our existing suite of models and data products.
- Helping to design and develop new features or new products and/or apply existing capabilities to new markets.
- Building your understanding of the longevity and pension risk transfer domain with the support of our existing team of longevity specialists
- Working towards becoming an area expert on our key products and providing support to external users of those products
- Owning one or more of our key modelling assets including supporting internal users of that asset and providing guidance on functional requirements to our specialist coding teams (which could include a role in developing production level code)
- Development and maintenance of longevity modelling and software suite including developing sustainable code for complex algorithms.
- Hands-on calibration of longevity models and publications to support our flagship products.
- Involvement in a range of innovative growth areas under guidance of product managers
Skills - critical:
- Able to take initiative on projects and proactively seek guidance from more experienced colleagues.
- Collaborative team worker who is confident in mentoring less experienced members of the team
- Extensive experience in data/analytical programming in R.
- Extensive experience in problem solving within the data and analytical space.
- Experience of working on complex projects to a strict deadline within a commercial environment.
- Experience in producing clear documentation of modelling approach and processes followed.
Skills - desirable:
- Prior experience of applying longevity analytics in an insurance or pensions context desirable but not essential
Personal Characteristics
- Great attention to detail.
- Excellent communicator, both to specialist and non-specialist stakeholders.
- Open-minded approach to platforms and software to support solutions.
- Ability to manage multiple competing deadlines.
- Ability to be pragmatic where required.
- Creative problem solver willing to leverage existing processes and tools.
