Moody's RMS

Moody’s RMS is the world’s leading provider of mathematical models and information related to the financial impact of natural catastrophes. Our Model Development department has over fifty Ph.D. 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 function as a multidisciplinary team of catastrophe modelers including statisticians, mathematicians, physical scientists and engineers, who build models critical to our Re/Insurance clients and essential to the other markets we serve.

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.

Homepage: https://www.rms.com/

Role & Responsibilities
Our team is responsible for modelling coastal flood hazard and risk related to wind driven surge, waves, tides, defense failure and breaching and the resulting inundation over land.

We’re looking for a candidate with a background in coastal dynamics, oceanography, or coastal engineering and a desire to use that expertise in quantifying the risks that coastal flooding drives. We would strongly value candidates with knowledge and experience in the application of ML methods to environmental science problems.

There is a strong focus on collaboration and innovation within the team with regular meetings to share methodologies and research.

The role responsibilities include:

• Building and developing storm surge, wave and coastal defence model components
• Calibration and validation of model results (both hazard and loss) through comparison to observed data and benchmarks
• Advancement of our models through research and implementation of novel scientific techniques
• Communicating research to clients and other stakeholders

Qualifications

Required:

• PhD or MSc with appropriate research or work experience in a field related to storm-surge or other aspects of coastal ocean modelling
• Experience working with high-performance clusters in a UNIX or Linux environment
• Experience with either numerical models (such as AGCMs, OGCMs, CGCMs, regional models or mesoscale models), handling large data sets, or statistical modelling
• Strong programming ability in scientific and analytical programming languages (e.g. Python, R, Fortran)
• Strong analytical skills and ability to effectively communicate insights to internal and external stakeholders

Advantageous:

• Experience in state-of-the-art ML methods would be highly advantageous
• Previous experience in catastrophe modeling, or specific expertise in modelling natural hazards is valued but not necessary
• Experience in using GitHub or similar code management software is advantageous

If this sounds like you then we’d love to hear from you – please apply even if you don’t meet every requirement as you may still be a great fit for this role or other open roles. Please submit your application and CV via the link https://careers.moodys.com/coastal-flood-risk-modeller/job/28251895