Cyber Credit Risk Data Scientist Intern

Moody's Corporation; Greater London; On-site; GBP 13,000 - 20,000; Full time

Job summary

Moody's Corporation is offering a 6-month internship in London focusing on data-driven solutions for cyber-related credit risk signals. You will identify signals from cybersecurity and financial data, train and evaluate ML models, and design explainability tools for business stakeholders.

Collaboration with technology teams and domain experts is essential. The role emphasizes translating complex analytics into actionable recommendations for both technical and non-technical audiences, with

Qualifications

• Pursuing Bachelor's or Master's in quantitative field.
• Diplôme d’Ingénieur candidates eligible.
• Ability to complete a 6-month internship starting February 2026.

Responsibilities

• Support data-driven solutions identifying cyber-related credit risk signals.
• Develop models to support predictive analytics with diverse datasets.
• Design explainability tools for stakeholders.
• Collaborate with tech teams to build data pipelines.
• Communicate findings and model performance to stakeholders.
• Incorporate domain expertise with Ratings and Research SMEs.
• Stay current with cybersecurity, finance and AI developments.

Skills

Data insights

Python & SQL

ML/NLP

Git

AI tools

Communication

Independence

Cybersecurity/Finance background

Education

Bachelor's or Master's in Engineering/CS/Data Science

Diplôme d’Ingénieur eligibility

6-month internship starting Feb 2026

Tools

Git

Job description

Moody's Corporation is offering a 6-month internship in London focusing on data-driven solutions for cyber-related credit risk signals. You will identify signals from cybersecurity and financial data, train and evaluate ML models, and design explainability tools for business stakeholders.

Collaboration with technology teams and domain experts is essential. The role emphasizes translating complex analytics into actionable recommendations for both technical and non-technical audiences, with