Catastrophe Modeller - Tropical Cyclones

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Catastrophe Modeller - Tropical Cyclones London, United Kingdom Apply now Save job Posted 05/13/2026 Job reference 13509 Experience level Experienced Hire Job category Engineering & Technology Line of business Insurance At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk modelsProficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworksExperience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferredAbility to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code developmentStrong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputsEffective communication skills to present technical insights clearly to both technical and commercial stakeholdersBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiencyInterest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related disciplineMSc candidates with relevant industry experience may be consideredResponsibilities Develops statistical and mathematical models to quantify tropical cyclone risk and support catastrophe risk assessment.Conduct research into tropical cyclone behaviour, including extreme event modelling, to quantify hazard and loss potentialDevelop, test, and enhance statistical and numerical models used in catastrophe risk assessmentCollaborate with cross-functional teams across hazard, vulnerability, exposure, and financial modelling to ensure model accuracy and completenessAnalyse large-scale observational and reanalysis datasets to support model development and validationImplement and maintain modelling code in high-performance computing environments where requiredTranslate complex modelling outputs into actionable insights for internal stakeholders and external clientsContribute to continuous improvement of modelling methodologies, including exploration of...