Longevity Modeller
2 days ago
A good understanding of technical mortality/longevity-based concepts is essential, along with a strong background in statistical analysis and statistical programming (R or similar). Practical experience of data analytics within a commercial environment is also critical (ideally within the life insurance or pensions industry).
Key responsibilities will include
- Calibration of baseline mortality models (for each of UK, US and Canada) using a range of statistical techniques, including logistic regression
- Model validation using a range of techniques, including actuarial goodness-of-fit testing
- Communication with wider stakeholders on technical details and interpretation of model outputs
- Regular analysis of longevity trends and semi-regular calibration of in-house stochastic trend model
- Development and maintenance of processes and digital tools to deliver insights in a cost-effective way
- High-level research into new features or innovations within existing models and products
To succeed in the role, you will be/have:
**Skills**:
- Extensive experience of statistical modelling and data analysis (essential)
- Good knowledge of the core concepts relating to mortality/longevity in an actuarial context (essential)
- Practical experience of working on mortality
- or longevity-based modelling within the life insurance or pensions market (highly desirable)
- Practical knowledge and experience of R, or similar statistical language and willingness to learn R (highly desirable)
- Practical experience of writing re-usable and sustainable code (highly desirable)
**Qualifications**:
- Demonstrable skills in statistical programming either from education, previous employment, or private learning
**Personal characteristics**:
- Collaborative team worker
- Excellent attention to detail
- 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).
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