
Location
London
Hours
Full Time - 14 June to 20 August 2027
About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering 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.
Our Cyber Product Management team defines and prioritizes cyber risk modelling capabilities that enable insurers to effectively understand and manage their cyber insurance risk. The team supports Moody’s cyber risk modelling initiatives through product management, market research, and the development of tools and materials that drive model and product adoption. By joining our team, you will be part of exciting work in the cyber insurance and risk modelling space, exploring how AI-enabled tools and approaches can accelerate our work and enhance our products and processes.
As a Moody's 10-week summer intern, you will immerse yourself in a hands-on learning experience guided by Moody's commitment to integrity, excellence, and insight. The program offers a comprehensive view of Moody's business and culture, with opportunities to build professional and technical skills through networking, mentorship, leadership speaker series, and volunteering events. Interns complete impactful project work, gaining real-world experience and professional growth while receiving mentorship from Moody's professionals.
Responsibilities include supporting the cyber product management team in developing research, tools, and materials that drive cyber model and product adoption; running client and sample data through Moody’s cyber model to support analysis and evaluation; utilizing and testing cyber modelling applications; reviewing and developing product collateral; researching cyber risk and cyber insurance literature and market developments; synthesizing analysis and market research into presentations and marketing materials; generating comparative reports to assess model changes; and developing automated or agent-based approaches to support model validation and reporting.
Moody’s is an equal opportunity employer committed to diversity and inclusion. We encourage candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Applications are accepted from 9th November through 23rd November, and early application is encouraged to ensure full consideration.
Experience
- Strong understanding of the cyber risk landscape
- Experience in marketing and market research, with ability to translate insights into relevant content
- Working knowledge of data processing and querying tools such as R, Python, SQL, or equivalent
- Basic knowledge of the insurance market is desirable
- Basic understanding of artificial intelligence concepts with enthusiasm for learning AI applications and responsible AI practices
- Effective verbal, written, and presentation skills to communicate clearly to different audiences
- Strong organizational and time management skills, able to manage priorities in a fast-paced environment
- Comfortable working with ambiguity and adapting to changing priorities
About you
- Curiosity and willingness to learn new concepts and technologies
- Ability to work full-time during the program dates: 14 June – 20 August 2027
- Models Moody’s values: invest in relationships, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity
Qualifications
- Currently pursuing a degree in Data Science, Engineering, Statistics, Mathematics, Physics, Computing, Information Systems, or a related field
- Graduation date between December 2027 and June 2028
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