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 themselves, exchange ideas, and think innovatively. As a global leader in ratings and integrated risk assessment, Moody’s is advancing AI to move from insight to action—enabling intelligence that understands complexity and responds to it. We decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence.

As a Model and Software Specialist Summer Intern, you will support clients in the effective use of Moody’s products and contribute to initiatives that enhance the overall customer experience. Your responsibilities will include assisting clients in understanding and using our products, participating in the development and delivery of tools, training, and educational materials, and contributing to projects aimed at improving customer satisfaction and reducing effort.

You will research and explore new ideas, tools, and approaches informed by academic research and emerging technologies, collaborating with team members to continuously improve the customer experience. This internship offers a unique opportunity to work with a team that combines expertise in catastrophe and climate risk modelling, software solutions, and model analytics, while exploring emerging technologies and AI-enabled approaches.

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 includes networking, mentorship, leadership speaker series, and volunteering events. Interns complete impactful project work, receive mentorship from professionals, and gain insights into diverse career paths, fostering professional growth and a comprehensive understanding of the company.

Moody’s is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

Experience
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 a 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.

Basic understanding of artificial intelligence concepts, with enthusiasm for learning how AI tools can improve processes and drive efficiency. Interest in exploring AI systems and developing awareness of responsible AI practices, including risk management and ethical use.

About you
Curious, motivated, and eager to learn new skills and technologies. Able to work collaboratively in a team environment and contribute positively to shared goals. Strong communication skills and a proactive approach to problem-solving. Passionate about science, technology, and their application in risk management and insurance.

Qualifications
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 between December 2027 and June 2028. Availability to work full-time during the internship program dates: 14 June – 20 August 2027.