The RMS model development team boasts the best scientists building mathematical models that predict the distributions of possible damage due to the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges and fluvial floods, using a combination of observed data, reanalysis data, numerical and statistical models and data assimilation.
RMS is the pioneer in the development and application of complex statistical and numerical modeling methods for the quantification of natural hazard risk. RMS’ 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.
Part of the Model Development group, the Flood team focuses on developing high-resolution, large-scale hydrologic/hydraulic models which are used to assess flood risk. The modeling work carried out by the flood team encompasses all steps from hazard modeling to loss modeling. The department has an engaged, collaborative working environment with a clear scientific and technological culture.
Key Accountabilities & Deliverables:
- Contribute to the scientific and technological development of the flood hazard model components, as well as to their application: space-time stochastic rainfall model, water, and energy balance for the description of rainfall-runoff processes, hydraulic modelling of water flow in open channels, high-performance models for floodplain inundation and defense failure mechanisms
- Further advancement of hydrological and hydraulic modules by researching and implementing novel scientific techniques (e.g. advancing the stochastic modules and peril modules that are at the center of the flood model)
- Quality-check the results by means of automatic calibration routines and contributing original ideas for calibration/validation of model components including benchmarking of flood inundation maps
- Evaluate final model output (e.g., flood footprints, flood losses and their spatial patterns using statistical methods and GIS tools)
- Perform applied research related to the occurrence and severity of floods across different domains (e.g. meteorological drivers of extreme floods, large scale patterns of flooding, trends and impact of regional flood risk, etc..)
- PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Applied Mathematics, or a related discipline. Strong candidates with a relevant MSc and appropriate research or work experience will also be considered
- Strong programming ability in scientific and analytical scripting/programming languages (e.g. Fortran, R, Python, bash, CUDA, C/C++)
- Ability to work as part of a team
- Experience with GPU-accelerated computing for the solution of numerical problems
- Knowledge of Machine Learning techniques applied to large environmental datasets
- Familiarity with large scale model development projects on HPC environments in Linux
- Understanding of data-assimilation and/or forecasting environments, GIS tools, SQL and a strong publication record
- Strong knowledge of statistics and probability theory
There is a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks--from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we are on a mission to help make every risk known.
Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1,000 products and models now covering six continents.
RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced RMS Risk Intelligence™ (RI), an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management.
How we understand and manage risk affects everyone and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale.
RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.
To all recruitment agencies: RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees.