Join a team that’s transforming how the world understands and manages risk.

Location
London, United Kingdom

Type
Full Time Internship

Salary (£)
Competitive

About Moody’s
At Moody’s, they bring together bright minds to turn today’s risks into tomorrow’s opportunities. As a global leader in ratings and integrated risk assessment, they’re pushing boundaries in AI and data-driven intelligence to help clients navigate uncertainty with confidence. Their London office is where innovation meets purpose, and they’re inviting curious thinkers to grow with them.

Job details

Benefits

  • Hands-on learning: Get real-world experience in AI, risk modelling, and client support.
  • Hybrid work flexibility: Work from the London office at least three days a week while enjoying autonomy.
  • Professional mentorship: Collaborate with industry experts committed to your growth.
  • Career foundation: Build skills that can lead to future full-time roles within the company.
  • Inclusive environment: Be part of a workplace that values every voice and perspective.

Requirements

  • Currently pursuing a BS or MS degree in Mathematics, Engineering, Physics, Statistics, Economics, Computer Science, Data Science, Risk Management, or related fields.
  • Expected graduation date between December 2026 and June 2027.
  • Working knowledge of at least one programming language such as Python, SQL, R, Julia, or Fortran.
  • Ability to analyze and interpret data to create actionable insights.
  • Strong communication skills, both written and verbal.
  • Curious about AI, risk management, and responsible innovation.
  • Availability to work in London from June 15 to August 21, 2026.
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Salary Details

This is a paid internship with a competitive package and access to employee learning resources.

About the Role

As a Model and Software Specialist Intern, you’ll play an active role in helping clients make the most of Moody’s cutting-edge products. You’ll support the development of tools, training, and educational materials, while exploring innovative ways to improve client experience. This internship gives you the chance to work with AI-driven risk models, contribute to meaningful projects, and see how technology transforms complex challenges into actionable insights.

You’ll be part of a team that partners with insurance clients, helping them understand catastrophe, climate, and credit risks. Your work will directly support their ability to manage risk responsibly and thrive in changing markets.

Key Responsibilities

  • Support clients in effectively using Moody’s products to enhance their decision-making.
  • Contribute to training materials and tools that make complex data easy to understand.
  • Assist in improving customer support satisfaction by identifying practical improvements.
  • Explore new approaches inspired by AI and emerging technologies.
  • Collaborate with model specialists and software experts to deliver high-quality outcomes.
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Disclosure and Barring Service Check

This role doesn’t require a DBS check.

Certificate of Sponsorship

Applications from job seekers who require current Skilled Worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website. From 6 April 2017, skilled worker applicants applying for entry clearance into the UK have had to present a criminal record certificate from each country they have resided in for 12 months or more during the past 10 years.

Equal Opportunity Statement

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, colour, religion, sex, national origin, disability, veteran status, sexual orientation, gender expression, or identity.

Employer Details

  • Company Name: Moody’s
  • Address: Minster Building, London
  • Contact: careers@moodys.com

Reference Number
10623

How To Apply
If you’re ready to make your mark in data, AI, and risk management, don’t wait. Submit your application today and start building a career that counts.

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