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Today's Topics:
1. Mathematical modelling of natural catastrophes at RMS London
(Steve Jewson)
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Message: 1
Date: Fri, 8 Jun 2012 11:59:50 +0100
From: Steve Jewson <Steve.Jewson@rms.com>
Subject: [Met-jobs] Mathematical modelling of natural catastrophes at
RMS London
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID: <3F710074EB0DD248905760DB7C9F6D28F00B8648@MAILUK2.rms.com>
Content-Type: text/plain; charset="us-ascii"
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 forty 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.
RMS is always interested in receiving speculative applications from suitably qualified candidates. We are also currently trying to fill a number of roles, including roles related to the modelling of storm-surge, and the quantification of sensitivity and uncertainty in our models.
Suitable candidates would have a PhD in Atmospheric Sciences, Meteorology, Applied Mathematics, Statistics, Hydrology, Wind Engineering, or similar. They would be used to working in a UNIX environment, and used to using a compiled programming language (such as FORTRAN or C). They would have experience with either numerical models (such as GCMs or mesoscale models), handling large data sets, or statistical modeling. Strong candidates with a different but equivalent profile would also be considered. Previous experience in catastrophe modeling, 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 london.recruiting@rms.com. Appropriate candidates will be invited for interview in London.
Many thanks,
Steve
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