Let's begin! Data Scientist Intern Cyber Credit Risk

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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 Masters 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

Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.