June 2016
Message 59

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[Met-jobs] Mathematical modelling of natural catastrophes at RMS London: paid internship for summer 2016

From Paul Wilson <>
To "" <>
Date Tue, 21 Jun 2016 13:26:46 +0000

Risk Management Solutions (RMS) is the world's leading provider of mathematical models and information related to the financial impact of natural catastrophes. We have a team of fifty PhD scientists and engineers based in London building mathematical models that predict the distributions of possible damage due to the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges, freshwater floods and tsunamis. We use a combination of observed data, reanalysis data, numerical, statistical and engineering models and data assimilation. We are the pioneers in the development and application of complex statistical and numerical modelling methods for the quantification of natural hazard risk, and our risk models are the most detailed and comprehensive models of natural catastrophes produced anywhere in the world. Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, hedge funds, regional and local governments, and multilateral agencies.

We are currently trying to fill a 10-12 week summer internship position in our modelling team, to work on quantifying role of natural habitats in reducing the risk of hurricane and storm surges and their impact on insurance losses. Suitable candidates would already have, or be half way through, a PhD in Atmospheric Sciences, Meteorology, Oceanography, Applied Mathematics, Statistics, Wind or Coastal Engineering, or similar. They would be used to programming in a UNIX or Linux environment. Strong candidates with a different but equivalent profile would also be considered. Previous experience in catastrophe modelling, or specific expertise in modelling natural hazards, is not necessary.


If you are interested, please send an email, with a covering letter and CV, to Appropriate candidates will be invited for interview in London.


Many thanks,



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