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Today's Topics:
1. Catastrophe Flood Modeler Vacancy (Michael Smith)
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Message: 1
Date: Mon, 30 Dec 2013 19:17:44 +0000
From: Michael Smith <Michael.Smith@rms.com>
Subject: [Met-jobs] Catastrophe Flood Modeler Vacancy
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Message-ID:
<722D4D76931EB84D9815DE937E81E8AA0811BC56AF@MAILUK6.rms.com>
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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 modeling 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 position within a group that deals with the application of catastrophe models to events in real-time ('cat response'). 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. Occasionally, following the occurrence of severe natural catastrophes, this role may involve significant overtime.
The role will have a strong focus on flood modeling and require collaboration with the flood team. As such, suitable candidates will have an exceptional Masters or PhD in Hydrology however an equivalent degree in Atmospheric Sciences, Meteorology, Applied Mathematics, or similar will also be considered. They will possess a strong analytical mindset, strong programming skills (Fortran, R, MATLAB), have experience of working with large data sets in a Linux/Unix environment, and be able to work as part of a team. Experience working with and post-processing satellite imagery and/or radar data, numerical/statistical modeling, and a strong publication record are considered an advantage. Previous experience in catastrophe modeling, or specific expertise in modeling natural hazards, is not necessary.
If you are interested, please send an email, with a covering letter and CV, to london.recruiting@rms.com<mailto:london.recruiting@rms.com>. Appropriate candidates will be invited for interview in London.
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