Exposure Modelling Summer Intern

PowerToFly; Greater Noida; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Moody’s invites candidates pursuing advanced degrees in Civil/Computer/Urban disciplines to join the Exposure Development team in India. The role focuses on developing stochastic catastrophe models and exposure data for property insurance, combining research, modeling, and open-source data analysis.

You will contribute to model design, validation, and cross-functional collaboration, with opportunities to influence Moody’s product solutions and data ecosystems globally.

Qualifications

• Pursuing a Master's 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 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 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 characteristics of property insurance markets and exposure landscapes across different regions worldwide.
• Collaborate with cross-functional teams to support enhancement of exposure data, analytics, and modeling capabilities.
• Document research findings, methodologies, and analytical insights to support model development and product innovation.

Skills

R/Python/SQL

Global growth context

Oral & written communication

Organizational skills

Problem solving

Teamwork

Catastrophic Risk Modelling

Building construction knowledge

AI concepts basics

Education

Master's or PhD in Civil/Computer/Urban disciplines

Tools

N/A

Job description

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.

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 Master's 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.

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.