Moody\'s Insurance Solutions Graduate Program 2025-Data Science

Location(s): Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB Line Of Business: RMS(RMS) Job Category: Students & Early Careers Experience Level: Early Career 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. Join us in transforming the world\’s understanding and management of risk. As part of the Moody’s Insurance Solutions Graduate Program, you\’ll work with the people, teams, and companies leading the way in the use of models, data, analytics, and technology to derive relevant insights across the insurance lifecycle. Our insurance customers use our models, data, analytics, and technology to assess catastrophe, climate, actuarial, economic, asset, and credit risk; it is our role to equip them with the tools and understanding to thrive. As a part of this mission you are crucial to our future, and we are committed to supporting yours as well. 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. 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. Post-graduate work experience. 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. Education: Bachelor’s/undergraduate degree. Preferred Education: Master’s or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About the Graduate Program: As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our business, exploring opportunities for career advancement, and refining your skills for future growth. Commencing in September 2025, you will join an international group of Moody’s Insurance Solutions graduates. The journey begins with a month-long training session led by our network of top developers, scientists, product managers, customer success experts, and clients. Subsequently, you will engage in our rotation program, obtaining hands-on experience within various teams and disciplines. These rotations will deepen your understanding of our products, their development processes, the companies that utilize them, and the value and insights they provide. Your work will span multiple products and markets, allowing you to enhance technical expertise, problem-solving abilities, and communication skills. About the Role: 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. #J-18808-Ljbffr