Data Scientist Intern - Cyber Credit Risk

Moody's Investors Service; Paris; Sur place; EUR 100 000 - 125 000; Plein temps

Résumé du poste

A global leader in risk assessment is seeking a Data Scientist Intern in Paris. This role involves developing frameworks to identify cyber signals impacting credit, and requires strong skills in Python, SQL, and machine learning. Applicants should be pursuing a Master's degree in a quantitative field and be able to complete a 6-month internship starting January 2026. This is an excellent opportunity to work in a fast-paced environment with a focus on innovative solutions.

Qualifications

• Currently pursuing a relevant Master's degree.
• Ability to complete a 6-month internship starting January 2026.

Responsabilités

• Develop frameworks and tools to identify cyber signals impacting credit.
• Gather relevant cyber and financial data and build data pipelines.
• Select and train machine learning models for predictive analytics.

Connaissances

Delivering insights from complex datasets

Python

SQL

Machine learning

Natural language processing

Communication skills

Collaboration principles

Formation

Master’s degree in Data Science, Computer Science, Statistics, Mathematics

Description du poste

Overview

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.

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

• Proven track record of successfully delivering insights from analyses of complex datasets
• Expertise in Python and SQL
• Knowledge of Git and collaboration principles
• Experience in data analysis, machine learning and natural language processing, with a strong knowledge of algorithms and principles
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to people from other fields
• 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 Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Ability to complete a 6-month internship starting January 2026

Responsibilities

The Cyber Credit Risk team collaborates closely with AI analytics, technology teams, rating and research teams, and other departments. As a member of the Cyber Credit Risk team, the Data Scientist Intern will help develop frameworks and tools to identify cyber signals impacting credit. They will gather relevant cyber and financial data, extract signals, build data pipelines and models, and create solutions that turn quantitative predictions into actionable insights for the business and market participants.

Responsibilities include:

• Building solutions to extract meaningful signals from diverse cyber and financial data sources
• Selecting and training machine learning models for predictive analytics, sometimes with relatively small and unbalanced datasets
• Designing explainability tools understandable by non-data scientists
• Collaborating with tech teams to create data ingestion pipelines connected to sources spread across different parts of the organization and delivered in varying formats
• Communicating results to business stakeholders and decision-makers
• Collaborating with subject matter experts from ratings and research teams to incorporate fundamental expertise into data models
• Staying current with the latest research and technology developments across cybersecurity, finance, and AI domains

EEO and Employment Conditions

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.