Flood Risk ModelerRMS is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world. The models and consulting services of RMS are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide-range of natural and man-made perils such as - earthquake, flood, hurricane, windstorm, wild fire, disease pandemic. RMS continues to grow and diversify in order to service and meet the requirement of its clients through research and technology innovation and superior client service. The company's strength lies in its ability to use and develop the skills of its people across a wide remit of business activities. Essential Job Functions We are looking for a highly skilled scientist at the Masters or Ph.D. level to build the next generation probabilistic flood model in the US. This model will be used to accurately assess the level of risk from inland fluvial flooding events. You need to be familiar with at least one high level programming language and know how to work with large data sets. You know how to build base data layers for flood models (DTM, river networks) with the help of GRASS, C, Fortran, Python and Linux scripting. You also understand hydrological/hydraulic models well and can run these on a distributed computing cluster. You have good problem-solving and communication abilities and like to work in a project oriented environment. You must be detail oriented and have the ability to learn fast. Qualifications and Skills The successful candidate should have the following attributes and skills:
Applications To apply for this position, please prepare a covering letter and cv which are saved using the following naming conventions: Your surname - covering letter Your surname - cv Please send your application to this e-mail address: flood.recruiting@rms.com Check the RMS website for further information on the company: www.rms.com The work will be done from our corporate headquarter in Newark (CA), USA. Candidates must have the right to work and live in the US. |
