Catastrophe Modeller

Londres  - Permanent

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#Catastrophe, Modelling, SQL, Python, Software, RMS, AIR, Risk Management Solutions, Natural Disaster Risk, Cybersecurity Risk


Write your career stories with us and tell us your successful paths

Job description

We are looking for a technical, focused and driven individual who is interested in pursuing a career in the field of catastrophe modelling and reinsurance analytics.


There will be two main aspects to the position: the first is working in close collaboration with the underwriting team, providing analytical input, sharing detailed knowledge of the strengths and weaknesses of the catastrophe models and advising on all aspects of the technical pricing associated with reinsurance contracts. This will also include helping to build the portfolio and analysing the risk and return characteristics associated with it.


The second aspect will be focused on technical project work and systems development. This will involve developing and / or deploying programming skills together with a command of maths, statistics, probability and analytical techniques. The ability to critically evaluate data, distill it into key aspects and use that to make recommendations will be a key to success

Profile

This role is suitable for a technical individual with relevant prior experience in the insurance / reinsurance field.. The successful candidate will possess many of the following skills / qualifications:


University degree in Maths, Physics, Engineering, Environmental Sciences, Geology or similar. Post-graduate study in a technical discipline or with specific natural hazard knowledge would be desirable.


Strong computing skills: advanced use of Excel and SQL, preferably together with experience of statistical applications or more advanced programming languages. Systems development experience, as part of project team would be advantageous.


Strong analytical and statistical skills in order manipulate large data sets, interpret results and distil large amounts of information into key findings


A demonstrated logical, numerical and structured approach to problem solving, with a ‘can-do’ attitude


Strong communication skills and the ability to present complicated ideas clearly and concisely


Ability to work efficiently under pressure, both on your own and as part of the team, delivering accurate results to strict deadlines


Four years minimum experience in a catastrophe modelling / reinsurance analytics role.

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