Data Scientist Intern - Cyber Credit Risk

Moody's Corporation; Greater London; In loco; GBP 13.000 - 20.000; Tempo pieno

Descrizione del lavoro

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

Competenze

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

Mansioni

• 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.

Conoscenze

Data insights

Python & SQL

ML/NLP

Git

AI tools

Communication

Independence

Cybersecurity/Finance background

Formazione

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

Diplôme d’Ingénieur eligibility

6-month internship starting Feb 2026

Strumenti

Git

Descrizione del lavoro

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.

Applications for this position will be accepted from 18th of September through 2nd of October.

Skills and Competencies

• Proven track record of successfully delivering insights from analyses of complex datasets
• Expertise in Python and SQL
• Experience in data analysis, machine learning and natural language processing, with a strong knowledge of algorithms and principles
• Strong understanding of software development and version control practices, including Git, to support collaborative and reproducible analytics development
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
• Excellent communication and presentation skills with the ability to translate complex analytical findings into clear recommendations for both technical and non‑technical stakeholders
• Ability to work with limited support and thrive in a fast‑paced environment, with accountability to clear targets, deadlines and outcomes
• Previous experience in cybersecurity, corporate finance or debt markets is a plus

Education

• Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, or another quantitative field
• Candidates pursuing a Diplôme d’Ingénieur are also eligible
• Ability to complete a 6-month internship starting February 2026

Responsibilities

Support the development of data-driven solutions that identify cyber-related credit risk signals and transform complex data into actionable business insights.

• Develop solutions to identify and extract meaningful signals from diverse cybersecurity and financial data sources
• Select, train and evaluate machine learning models to support predictive analytics, including work with complex, limited or imbalanced datasets
• Design explainability tools that help business stakeholders understand model outputs and insights
• Collaborate with technology teams to build and maintain data ingestion and processing pipelines across multiple data sources and formats
• Communicate findings, recommendations and model performance to business stakeholders and decision‑makers
• Partner with Ratings and Research subject matter experts to incorporate domain expertise into analytical frameworks and predictive models
• Stay current with the latest research and technology developments across cybersecurity, finance, and AI domains

About the Team

Our Cyber Credit Risk team is responsible for developing data-driven methodologies and analytical solutions that identify cyber-related risks and their impact on credit outcomes. The team contributes to Moody’s by advancing innovative risk assessment capabilities, generating actionable insights for market participants, and supporting research and rating activities through the integration of cybersecurity and financial expertise. By joining our team, you will be part of exciting work at the intersection of cybersecurity, credit risk, data science, and financial markets, collaborating with colleagues across multiple locations and disciplines. Our team actively leverages artificial intelligence and machine learning technologies to enhance analytical processes, uncover emerging risk signals, and drive innovation while promoting the responsible and ethical adoption of AI across our business.

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.