Job Description

Location(s):

  • One Canada Square, Canary Wharf, London, E14 5FA, GB

Line Of Business: Banking OU(BANKING OU)

Job Category:

  • Students & Early Careers

Experience Level: Early Career

Quantitative Analysis Intern

Job ID 6271 - Banking OU, Risk and Finance Research Team - London - Full Time

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.

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.

Skills and Competencies

The internship is based in London and runs for 10 weeks, starting on the 16th of June 2025 running until the 22nd of August. It is aimed at PhD students or recent MSc graduates.

  • Strong programming skills in a high-level language such as Python (preferred) or R. Knowledge of Git and version control is beneficial
  • Strong knowledge of statistical modelling techniques and an ability to translate them into code
  • Excellent written, verbal communication, and presentation skills
  • Fluent in English

Education

  • Pursuit of a PhD in a STEM subject, Economics, Finance, or a related discipline (MSc also considered)

Responsibilities

You are joining a group of risk-management quants whose responsibilities include:

  • Researching new quantitative methods and publishing white papers as well as methodology documents,
  • Implementing new features within our software tools, including at production-level, primarily in Python and R.
  • Working with banks and other financial institutions to develop quantitative solutions related to financial risk, including risk assessment and credit risk modelling, portfolio management, IFRS9 and regulatory compliance.

About the team

Department: Risk and Finance Research

In the Moody’s Risk and Finance group, we develop quantitative solutions to help lending institutions make important decisions about their business, particularly when they are providing loans, managing risk, or conducting financial planning for the future of their institution. We do this with our innovative software and reliable analytics, helping them understand how to do their job better through training, learning solutions and advisory services.

Team members have diverse backgrounds including econometrics, finance, economics, statistics, engineering, and mathematics.

Working at Moody’s

Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions.

Want to know more about us? Please follow this link to know what identifies us as Moody’s.

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.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

Apply Online