Data Scientist Intern - Cyber Credit Risk

PassFort; Paris; Sur place; EUR 8 900 - 13 000; Plein temps

Résumé du poste

Moody’s is seeking an internship to support the Cyber Credit Risk team in turning cyber risk data into actionable credit insights. You will help identify signals from cybersecurity and financial datasets, train ML models, and build explainability tools for stakeholders.

The role requires pursuing a quantitative degree and offers a six-month internship starting February 2027, with collaboration across AI, data science, and risk management functions.

Qualifications

• Pursuing a Bachelor's or Master's in a quantitative field (Engineering, CS, Data Science, Statistics, Mathematics).
• Candidates pursuing a Diplôme d’Ingénieur are also eligible.
• Ability to complete a 6‑month internship starting February 2027.

Responsabilités

• 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.
• 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.

Connaissances

Python

SQL

Data analysis

Machine learning

NLP

AI concepts

Communication

Stakeholder presentation

Cybersecurity

Formation

Bachelor's or Master's in Engineering

Computer Science / Data Science / Statistics / Mathematics

Diplôme d’Ingénieur eligible

Outils

Git

Description du poste

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.

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.

Applications for this position will be accepted from 18th of September through 2nd of October. We encourage interested candidates to apply early to ensure full consideration.

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 2027

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.