Exposure Modelling Summer Intern

At Moodys, 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

• Hands-on IT skills, in particular knowledge of R, Python, or SQL
• Interest in the social and cultural contexts that guide growth and development across geographies
• Strong oral and written communication skills
• Strong organizational skills and ability to meet deadlines
• Ability to investigate and solve problems
• Ability to work in a team
• Interest in Catastrophic Risk Modelling and Property Insurance Industry
• Knowledge of building construction practices across different countries would be an advantage
• Basic understanding of AI concepts (Generative AI tools and Agentic AI systems), with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency leveraging these technologies for research, analysis, or workflow optimization. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Candidates should be currently pursuing a Masters or Ph.D. degree from an accredited university in Civil Engineering, Computer Engineering, Urban Planning, Remote Sensing, Geoinformatics, or a related field

Responsibilities

• Contribute to the development and enhancement of Moody s Exposure Models as part of the Exposure Development team based in India
• Support the research, design, and implementation of exposure modeling methodologies and solutions
• Conduct primary research and analysis to support model development and validation activities
• Develop an understanding of the technologies, analytical techniques, and methodologies used in Moody s products and solutions
• Research, evaluate, and analyze datasets required for exposure development across global geographies, leveraging public and open-source data where available
• Assist in the development of valuation models for a broad range of buildings and infrastructure assets
• Research and analyze the characteristics of property insurance markets and exposure landscapes across different regions worldwide
• Collaborate with cross-functional teams to support the continuous enhancement of exposure data, analytics, and modeling capabilities
• Document research findings, methodologies, and analytical insights to support model development and product innovation

About the Team

The Model Development group focuses on developing industry leading stochastic catastrophe models for the quantification and management of catastrophe risk. Within this group, the Exposure Development team focuses on developing data sets of economic and insured property exposures for our natural catastrophe models. Such products are essential not only for the model development process, they also are a key component of the RMS product line and provide a wealth of valuable information for our clients.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.