|From||Steve Jewson <Steve.Jewson@rms.com>|
|Date||Fri, 26 Oct 2012 10:30:04 +0100|
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 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 freshwater 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, and multilateral agencies.
We are currently trying to fill two positions to work in a group that deals with the application of catastrophe models to events in real-time ('cat response') and with the use of catastrophe models in the capital markets. With respect to the real-time events work, the role will involve designing, developing, maintaining and using operational systems to calculate estimates of the loss due to natural catastrophes during the days immediately before and after a natural catastrophe event strikes. Occasionally, following the occurrence of severe natural catastrophes, this role may involve significant overtime. With respect to the capital markets work, the role will involve helping design methods by which catastrophe models can be used for the pricing and management of catastrophe bonds.
Suitable candidates would have a Masters or PhD in Atmospheric Sciences, Meteorology, Applied Mathematics, Statistics, Wind Engineering, or similar (of the two positions, one requires a Master's degree, and one requires a PhD). 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 firstname.lastname@example.org. Appropriate candidates will be invited for interview in London.
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