Mathematical Model Developer
1 month ago
About Moody's RMS
We unite the brightest minds to turn today's risks into tomorrow's opportunities.
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 use observational and reanalysis data, as well as numerical, statistical, data science, and engineering models.
Job Overview
This role involves developing sophisticated mathematical models for predicting the financial impact of natural catastrophes. You will work closely with our team of Ph.D. scientists and engineers to build models that accurately predict the distributions of possible damage.
Key Responsibilities
- Develop and maintain mathematical models for predicting the financial impact of natural catastrophes.
- Work closely with our team of Ph.D. scientists and engineers to ensure models are accurate and up-to-date.
- Collaborate with other departments to integrate models into our risk analysis software.
- Communicate analysis results and insights effectively to both internal and external stakeholders.
Requirements
- Bachelor's or Master's degree in a relevant field such as mathematics, physics, or computer science.
- Strong foundation in numerical modeling, statistics, probability, and computational science.
- Experience with climate analyses and data, particularly knowledge of tropical storm processes.
- Strong programming skills in languages such as R, Python, or Julia.
- Excellent communication and teamwork skills.
- Average salary £80,000 - £120,000 per annum (dependent on experience). With an estimated £100,000/year, this is a competitive opportunity for skilled professionals looking to make a real difference in the field of risk analysis and management.
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