August 2016
Message 54

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[Met-jobs] Mathematical modelling of natural catastrophes at RMS London: Catastrophe Response Modeller

From Paul Wilson <>
To "" <>
Cc London Recruiting <>
Date Tue, 23 Aug 2016 13:22:07 +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, developing & 
maintaining models and processes to analyse events and calculate estimates of 
the insured loss during the days immediately before and after an event. The 
role combines development responsibilities with operational activities; 
following the occurrence of severe natural catastrophes, the team 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 PhD 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), have 
experience of working with large data sets in a Linux/Unix environment, 
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 

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,

Paul Wilson 
Vice President, Model Development

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