September 2016
Message 83

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[Met-jobs] Mathematical modelling of natural catastrophes at RMS London: Senior Modeling Analyst, Catastrophe Response

From Paul Wilson <>
To "" <>
Cc London Recruiting <>
Date Fri, 23 Sep 2016 14:55:03 +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 postdoctoral 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 and floods. 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.


We are currently looking to fill positions within the catastrophe response team that deals with the application and development of RMS’s catastrophe models to understand events as they occur in near real-time. The role will involve monitoring potential catastrophe events as they occur globally, maintaining models and processes to analyse events and calculate estimates of the insured loss during the days immediately before and after an event. The successful candidate will be responsible for clear & timely communication of the situation with the organization and to our clients - this will entail close collaboration with colleagues across the organization and RMS’s global offices.


Suitable candidates will have a MSc in Atmospheric Sciences, Meteorology, Storm Surge Modelling, Applied Mathematics, Wind or Coastal Engineering, or similar. They will have a strong analytical mindset, strong programming skills (Fortran, R, MATLAB), experience working with GIS software (QGIS, ArcGIS), excellent communication skills and be able to work as part of a team.  Previous experience in catastrophe modelling are considered an advantage but not a pre-requisite.


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


Many thanks,



Paul Wilson

Vice President, Model Development


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