Job details
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 mathematical and statistical foundations
- Strong ability in programming languages used in model development (e.g., R, Python, Julia)
- Experience with complex statistical techniques
- Strong proficiency in R programming
- Good skills in a Linux/Unix environment
- Experience using version control systems such as GitHub is preferred
- Knowledge of and interest in tropical cyclones is preferred
- Excellent critical thinking and problem solving skills, with strong attention to detail
- Ability to communicate analysis results and insights effectively
- Driven and committed, demonstrating self motivation as well as strong teamwork skills
- 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
- Currently studying towards an MSc or PhD in Statistics, Climate Science, Athomespheric Sciences, Meteorology, Applied Mathematics, or related fields (including students transitioning between MSc and PhD programs)
- Available for a 4-month internship
Responsibilities
- Conduct research and development to understand the effects of extreme climate phenomena, with a particular focus on tropical cyclones
- Support the design, prototyping, and advancement of mathematical models of climate extremes and their impacts
- Work closely with experienced catastrophe modelers to develop and enhance modeling approaches
- Analyze climate and catastrophe data to generate insights and improve model performance
- Contribute to the documentation and communication of research findings and model outcomes
About the team
Moody’s RMS Climate Hazards team, based in London, sits within the company’s Model Development group as part of the Models and Data Business Unit. The team works closely with hazard, vulnerability, exposure, and financial modelers to quantify the loss potential of extreme climate events and to ensure the accuracy, efficiency, and appropriateness of the final modelling products. It operates as a multidisciplinary group of catastrophe modelers, including statisticians, mathematicians, physical scientists, and engineers, who develop models that are critical to Moody’s RMS reinsurance and insurance clients, as well as essential to the broader markets served by Moody’s RMS.
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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
