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Model And Software Specialist Summer Intern

London, United Kingdom

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Posted
11/05/2026
Job reference
15256
Experience level
Early Career
Job category
Early Career Opportunities & Programs
Job sub category
Internships
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. 

Applications for this position will be accepted from 6th of November through 20th of November. We encourage interested candidates to apply early to ensure full consideration. 


Skills and Competencies

  • Strong analytical and problem-solving skills, with the ability to approach technical challenges logically and identify practical solutions
  • Ability to analyze and interpret data to identify trends, generate insights, and support decision-making
  • Working knowledge of at least one programming or analytical tool, such as SQL, R, Python, Microsoft Excel, Julia, or Fortran, with the drive to learn new languages and software as required
  • Interest in how science and technology are used to understand and manage risk within the insurance industry
  • Effective verbal, written, and presentation skills to communicate information clearly to different audiences
  • Strong organizational and prioritization skills, with the ability to focus on impactful outcomes and manage tasks effectively
  • Collaborative approach and willingness to support others to contribute to shared team goals
  • Curiosity and willingness to learn new skills, concepts, and technologies in a developing technical environment
  • Interest in how science and technology are used to understand and manage risk within the re/insurance industry
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

  • Currently pursuing a degree in Mathematics, Engineering, Physics, Statistics, Economics, Earth or Climate Sciences, Computer Science, Data Science, Software Engineering, IT, Risk Management, Insurance, or a related field
  • Graduation date of December 2027 – June 2028
  • Ability to work full-time during the program dates: 14 June – 20 August, 2027

Responsibilities

Support clients in the effective use of our products and contribute to initiatives that enhance the overall customer experience.

  • Support clients in understanding and effectively using our products and solutions
  • Participate in the development and delivery of tools, training, and educational materials
  • Contribute to initiatives aimed at improving customer satisfaction and reducing customer effort
  • Research and explore new ideas, tools, and approaches informed by academic research and emerging technologies
  • Collaborate with team members on projects and initiatives to continuously improve the customer experience

About the Team

Our Model and Software Specialist team partners with insurance clients to help them gain maximum value from our catastrophe models, data, analytics, platforms, and applications. The team brings together expertise across catastrophe and climate risk modelling, software solutions, and model analytics to help clients better understand and manage risk. By joining the team, you will contribute to work that combines science, technology, data, and analytics, while exploring emerging technologies and AI-enabled approaches to enhance how we support our clients.

Moody's 10-week summer internship program is a premier opportunity for students to immerse themselves in a hands-on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program takes place each summer from June – August and positions are available for undergraduate and select graduate students. Internships are full-time, offering a comprehensive view of Moody's business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events.  Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody's professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody's intern, you will gain real-world experience, turn inputs into actions, and be integral part of the team.


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.

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