Data Scientist Intern - Cyber Credit Risk

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.  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 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,