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  • Actuarial Research Analyst REF: NA1605

    Category: Actuarial | Location: London | Sector: Life Insurance | Salary: £30,000 - £60,000 + Benefits | Type: Permanent

    The role offers the opportunity to:
    • Support the R&D Teams in Asia, Europe, Australia and North America through working on specific projects. Help develop best estimate and stressed assumptions, especially regarding trends in mortality/longevity, critical illness and disability bases through the analysis of internal and external data and incorporating insights based on a thorough understanding of the markets that we operate in.
    • Present results and analysis to key stakeholders and assumption users both verbally and via written reports. Ensure areas of judgement are clearly explained and documented.
    • Support other ad-hoc actuarial projects around the Division. Includes non-business-as-usual workstreams across all lines of business, working with other teams such as Pricing, Underwriting & Marketing.
    • Support other teams through technical knowledge sharing and statistical insights. Contribute to the development of wider processes and knowledge around the Division.
    • Ensure the company maintains a cutting-edge level of technical, research and industry knowledge in respect of mortality, morbidity and longevity risk through awareness of research conducted in academia and industry working groups.
    Skills Required
    • Understanding of actuarial principles and processes, such as the control cycle
    • Good analytical abilities
    • Good presentation skills
    • Awareness of the general business environment and topics in the field of life insurance, increasing longevity and data analysis
    • Familiarity with statistical analysis software, such as R, MatLab, Tableau
    • Programming experience in, for example, R, MatLab, C++ or Excel VBA is strongly desirable
    • Familiarity with common business IT software including, but not limited to, Excel and SQL
    • Awareness of stochastic mortality models, such as the Lee-Carter and APC models, and common statistical techniques, such as Generalised Linear Models, Survival Models, time series
    • Organisational skills
    The company offers the opportunity to:
    • Work for an organisation with a people focused culture
    • Gain from flexible working hours
    • Gain from high class training
    • Be part of an organisation which helps to progress your career further

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