Catastrophe Modeller - Tropical Cyclones

Moody's Investors Service; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Moody's Investors Service in Greater London is seeking a candidate to develop statistical models for tropical cyclone risk assessment. The ideal candidate will have a PhD in a relevant field and strong skills in statistical modelling and programming (Python, R, or Julia). Responsibilities include conducting research on tropical cyclone behavior, collaborating with cross-functional teams, and implementing advanced modelling methodologies. Join a dedicated team advancing catastrophe modelling and climate risk analytics in a multidisciplinary environment.

Qualifications

• Strong expertise in statistical modelling to develop catastrophe risk models.
• Proficiency in programming languages like Python, R, or Julia.
• Experience analysing climate and atmospheric data preferred.

Responsibilities

• Develop statistical models to quantify tropical cyclone risk.
• Conduct research into tropical cyclone behaviour for hazard and loss potential.
• Collaborate with cross-functional teams for model accuracy.

Skills

Statistical modelling expertise

Proficiency in Python, R, or Julia

Experience analysing climate data

Collaborative skills with version control systems

Analytical thinking

Effective communication skills

Understanding of AI concepts

Interest in responsible AI practices

Education

PhD in Statistics, Atmospheric Science, Climate Science, or related discipline

MSc with relevant industry experience

Job description

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.

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 models
• Proficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworks
• Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred
• Ability to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code development
• Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs
• Effective communication skills to present technical insights clearly to both technical and commercial stakeholders
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest 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 discipline
• MSc candidates with relevant industry experience may be considered

Responsibilities

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 potential
• Develop, test, and enhance statistical and numerical models used in catastrophe risk assessment
• Collaborate with cross-functional teams across hazard, vulnerability, exposure, and financial modelling to ensure model accuracy and completeness
• Analyse large-scale observational and reanalysis datasets to support model development and validation
• Implement and maintain modelling code in high-performance computing environments where required
• Translate complex modelling outputs into actionable insights for internal stakeholders and external clients
• Contribute to continuous improvement of modelling methodologies, including exploration of advanced techniques such as machine learning

About the Team

Our Model Development - Hazard Modelling team is responsible for building advanced catastrophe models that quantify the financial impact of natural hazards. We contribute to Moody’s by delivering industry-leading catastrophe modelling solutions used by global re/insurance and financial markets, and advancing scientific research and innovation in natural hazard risk modelling. By joining our team, you will be part of cutting-edge work in climate risk, catastrophe modelling, and data-driven analytics within a global, multidisciplinary environment.

Equal Opportunity Employer

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.