Climate Hazard Modeler
4 weeks ago
At Moody's, we're committed to harnessing the power of data and analytics to drive business growth and mitigate risk. As an ESG Analytics and Data Researcher, you'll play a critical role in developing mathematical models that predict the financial impact of natural catastrophes.
About the RoleWe're seeking a highly skilled and experienced researcher to join our Model Development department in London. As a key member of our team, you'll be responsible for developing and maintaining sophisticated mathematical models that analyze the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges, and freshwater floods.
Key Responsibilities- Develop and maintain mathematical models that predict the financial impact of natural catastrophes
- Analyze and interpret large datasets to inform model development and improvement
- Collaborate with cross-functional teams to integrate model outputs into business decision-making processes
- Stay up-to-date with the latest research and developments in climate science and data analytics
- PhD in a relevant subject (e.g. mathematics, statistics, computer science)
- Strong mathematical foundation with particular focus on numerical modeling, statistics, probability, and computational science
- Demonstrated success in developing sophisticated mathematical models in academic or industrial environments
- Experience with climate analyses & data, with knowledge of tropical storm processes particularly advantageous
- Strong ability in modeling languages (e.g. R, Python, Julia)
- Ability to communicate analysis results and insights effectively both internally and with external business partners
- Strong user skills in a Linux/Unix environment
- Experience with high-performance clusters
- Excellent time management and planning skills with a commitment to delivery
At Moody's, we offer a dynamic and supportive work environment that fosters collaboration, innovation, and growth. As an ESG Analytics and Data Researcher, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven decision-making.
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