|From||Arno Hilberts <Arno.Hilberts@rms.com>|
|Date||Fri, 18 Dec 2015 14:08:29 +0000|
Risk Management Solutions (RMS) is the world's leading provider of catastrophe risk models and information related to the financial impact of natural catastrophes. We have a team of 50 postdoctoral scientists and engineers based in London, and 70 in Newark (Calif.), building catastrophe models that predict the distributions of possible damage due to the effects of floods, tropical storms, extra-tropical storms, thunderstorms, and storm-surges. 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’re currently recruiting for a position in the Flood Modeling Team in London. The Flood team focuses on developing high-resolution, large-scale flood models which are used
to assess flood risk. The modelling work carried out by the flood team encompasses all steps from hazard modelling to loss modelling. The department has an engaged working environment with a clear scientific, motivated and technological atmosphere.
· Further development of large scale rainfall-runoff models, stochastic rainfall processes, and defence failure models, and to seek for scientific and technological improvements in them;
· Advancement of hydraulic inundation methods;
· Calibration of hydrologic and hydraulic models;
· Benchmarking of model loss results against claims data and loss targets
· Perform rigorous QA and research into consistency between observed and modeled spatial patterns, seasonality of floods, flood magnitudes, and similar for loss patterns;
· Candidates with a PhD in Hydrology or Computational Fluid Dynamics preferred, but a similar degree in Meteorology, Applied Mathematics, or Civil Engineering will also be considered;
· Must have a strong analytical mind-set;
· Strong programming skills (Fortran, R, bash, csh, python, awk and sed);
· Experience working with GIS-tools;
· Prior experience of working on large data sets in a Linux/Unix environment;
· Strong personal motivation, combined with an ability to work as part of a team, and to communicate results;
· Experience with model development, usage of GPUs for large compute jobs, data-assimilation and/or forecasting environments, SQL, and a strong publication record are considered an advantage.
· Experience working with Spark, C#, Java, is considered an advantage.
If you are interested, please send an email, with a covering letter and CV, to email@example.com. Appropriate candidates will be invited for interview in London.
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.