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.
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.
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.
Required qualifications
- Strong interpersonal, communication, and presentation ability.
- Ability to communicate analysis results and insights effectively.
- A working knowledge of computer programming languages used in model development (examples include R, Python, Julia, SQL, and Fortran). An adaptability and willingness to learn new languages as required.
- Strong mathematical and statistical foundation.
- Excellent time management and planning skills with a commitment to delivery.
- Driven and committed, demonstrating self-motivation as well as strong team working skills.
- Critical thinking, problem-solving skills, and attention to detail.
Preferred qualifications
- Post-graduate work experience.
- Experience and interest in the re/insurance business domain.
- Ability in modern systems of scientific repeatability and engineering scalability (e.g., GitHub).
- Experience with high-performance clusters and strong user skill in a Linux/Unix environment.
- Ability to work in dynamic environment with flexibility of tasks.
Education
A Master’s or PhD degree, to be completed by September 2025, in a related subject (e.g., Climate Science, Meteorology, Hydrology, Applied Mathematics, Statistics, Engineering, or similar).
As a Graduate in the Model Development Program
Analysts in the team work closely with other 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 product.
This role will perform research and development work in climate events and their extreme behavior, including tropical cyclones, inland and coastal floods, severe and winter weather, chronic and acute climate change, and so on. Our graduates build experience through rotations across other development teams including event response, hazard, vulnerability, exposure, and financial modelers - all teams we collaborate with closely to ensure the accuracy, efficiency, and appropriateness of the final modelling product.
The rotation program further provides the opportunity to gain hands-on experience in the wider Insurance Solutions model offering, including stochastic modelling solutions which forecast financial and economic variables (e.g. interest rates, inflation, exchange rates, equity indices, bond returns, property prices) for a wide variety of applications across life/general insurance, asset management, and wealth/pension industries.