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Exposure modelling Summer Intern

Noida, India

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Posted
09/07/2026
Job reference
14579
Experience level
Early Career
Job category
Students & Early Careers
Line of business
Insurance

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

  • 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

Education
The preferred candidate will have a bachelor’s or currently enrolled in master’s or PhD programme of an accredited university in Civil or Computer Engineering, Urban Planning, Remote Sensing or Geoinformatics. 

Responsibilities

Candidate will be part of the Exposure Development team based in India. He or she will be engaged in supporting the development of Exposure Models. He or she will be involved in primary research needed for development and implementation of said research. The candidate will be expected to gain knowledge of relevant technologies and analytics needed for development of Moody’s products.

  • Supporting research on data sets and analytics needed for Exposure development for various geographies around the world, leveraging public and/or open-source data where available
  • Supporting research for development of valuation models for various types of buildings and infrastructure
  • Researching and understanding of the characteristics of property insurance markets around the world

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.


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.

For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

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