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

• 4+ years of experience in machine learning, with strong expertise in GenAI, Agentic AI, LLM evaluation frameworks, and associated risk considerations
• Hands on experience evaluating AI systems, including building or using tools and models to test performance, safety, and reliability of LLM based applications
• Experience with NLP, prompt engineering, RAG, agentic AI, and cloud deployment preferred (AWS or Azure etc)
• Proficiency in programming and analytics, with experience in Python, SQL, .NET, statistical analysis of model outputs, and advanced quantitative techniques
• Solid understanding of AI risk management and responsible AI practices, combined with experience in regulated or financial domains such as corporate finance, credit, or debt markets
• Excellent communication and documentation skills, enabling effective engagement with both technical and non technical stakeholders, including drafting requirements and user guides

Education Master's or bachelor's degree in Computer Science, Mathematics, Financial Engineering, or a closely related quantitative field
Responsibilities The Senior Analyst supports the validation, evaluation, and governance of advanced AI systems, including Machine Learning, Generative AI (GenAI), and Agentic AI models. This role ensures that the use of AI in Moody's Ratings is robust, reliable, and adheres to governance and regulatory standards under the direction of the VP-Data Science.
Execute hands-on validation and testing of AI and Machine Learning models, including GenAI and Agentic AI, following established evaluation frameworks.
Develop and run systematic model evaluations to benchmark performance and safety, using industry leaderboards, SME review, and LLM-as-a-judge frameworks.
Assess risks in AI systems, focusing on accuracy, bias, explainability, and operational integrity.
Collaborate with technology, risk, compliance, and business stakeholders to support alignment with governance and regulatory standards.
Maintain high standards of documentation, reporting, and continuous improvement in model risk management processes.Communicate validation results and recommendations to both technical and non-technical audiences.
About the team The Digital Economy team at Moody's Ratings focuses on assessing and managing risks emerging from digital finance, artificial intelligence, and cyber threats, which are reshaping global financial systems and credit markets. The team provides thought leadership and analytical insights into how technologies like blockchain, AI, and digital assets impact operational resilience.

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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.