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
- Applied experience collecting, processing, and using data to solve a problem or answer a question
- Working knowledge of a computer programming language (examples include SQL, R/tidyverse, Python, Microsoft Excel, Julia, and Fortran) with an adaptability and willingness to learn new languages/software as required (the Model Analytics team currently primarily uses R/tidyverse and SQL)
- Strong applied analytical, mathematical, and/or statistical foundation
- Driven and committed, demonstrating self-motivation as well as strong team working skills
- Critical thinking, problem-solving skills, and attention to detail
- Ability to effectively communicate insights and analyses
- Ability to work in dynamic environment with flexibility of tasks
- At Moody's we believe the future of working in our industry will be shaped by AI, and as a graduate, you will be central to making that future effective and valuable for our clients
Education
- Bachelor’s/undergraduate degree background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar
Preferred Qualifications
- A Master’s or PhD degree
Experience with or interest in: the Re/Insurance business domain/catastrophe modeling, database management/working with relational databases (SQL), Moody’s RMS products (e.g. RiskLink, Risk Modeler, Intelligent Risk Platform), data engineering, data analytics, data science, using a programming language, Collaborative code development using version control software (e.g., GitHub), Kubernetes.
About the Graduate Program/Role
As a graduate you’ll build a diverse and relevant career – learning our business, discovering your career growth opportunities, and continuing to develop your skills for years to come. Starting in September 2026, you'll join an international cohort of Moody’s Insurance Solutions graduates. You'll begin with a month-long training program, learning from our network of leading developers, scientists, product managers, customer success practitioners, and clients. Following this, you'll participate in our rotation program, gaining direct experience across various teams and disciplines. Through your rotations you will enhance your knowledge of our products, how they are built, the companies who use them, and how they get value and insight from them. Your work will span our products and markets, developing technical skills and knowledge, problem-solving skills, and communication skills.
Moody’s Insurance Solutions uses a combination of observations, reanalysis data, numerical, statistical and engineering models. We are the pioneers in the development and application of combined statistical and numerical modelling methods for the quantification of natural hazard risk, and our models are the most detailed and comprehensive models of natural catastrophes produced anywhere in the world. Our team 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. The model development organization is a multidisciplinary team of catastrophe modelers including statisticians, mathematicians, physical scientists and engineers, who build models critical to our clients (Re/Insurance, regulatory, and more) and essential to the other markets we serve.
The Model Analytics team’s goal is to add efficiency and insight throughout the model development cycle and to increase the value of the models we bring to market by: eliminating surprises; telling the story of model releases; and sharing our expertise in large scale data pipelining/processing, analytics, and reporting tools. The Data Science graduate will get the opportunity to work closely with the Model Development, Model Analytics, Model Documentation, Model Specialist, Consulting, and other teams to help provide insight into upcoming models, eliminate surprises, and ensure readiness for model releases. In this role, you will work with a broad range of internal and client data, and with data pipelining, processing, and visualization tools that are being increasingly utilized across teams and organizations within Moody’s Insurance Solutions. The ideal candidate for this position is interested in a broad range of work spanning data cleansing, data analysis/data analytics, programming, tool development, data pipelines, gaining an in-depth knowledge of catastrophe modeling and the model development cycle, and, eventually, giving detailed presentations and recommendations to leadership.
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.
