Model Validation Summer Intern

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 October 13th – October 26th. We encourage interested candidates to apply early to ensure full consideration.
Skills and Competencies
Exposure to agentic AI - through coursework, academic or personal projects, or a prior internship – for example, building multi-agent workflows involving tool use and orchestration using modern agent frameworks. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Working familiarity with LLM/GenAI fundamentals - prompting strategies, retrieval-augmented generation, function/tool calling, and awareness of common failure modes such as hallucination and prompt injection. Hands-on project experience is a plus
An interest in evaluating AI systems (“evals”) - some exposure to accuracy and task-success testing, grounding and retrieval quality, hallucination detection, and basic benchmarking is preferred
An interest in AI model risk management, with awareness of the risks and controls specific to Generative AI and agentic AI and their implications for model validation and governance. Exposure through coursework is a plus
Coursework or personal interest in credit risk, financial products and markets, quantitative modeling, and statistics is valued.
Proficiency in Python; familiarity with R or SQL is a plus. Comfortable reading and working within an existing codebase
Academic or project-based experience spanning AI, machine learning, quantitative analytics, software engineering or related disciplines
Highly organized, efficient, and detail-oriented, able to prioritize competing demands, work to tight deadlines, and deliver accurate, high-quality outputs both independently and collaboratively
A strong communicator, able to articulate complex ideas fluently and clearly for both technical and non-technical audiences
Education
Currently pursuing a Bachelors, Masters, or Doctoral degree in a quantitative or technical field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering
Graduation date of December 2027 – June 2029
Ability to work during program dates: June 7th - August 13th 2027
Responsibilities
The Quantitative Review Summer Intern role assists in the independent evaluation and challenge of models, scorecards, and agents used in the context of credit rating activities across asset classes, as well as AI model risk management. The successful candidate will contribute to the team’s work on evaluating and governing generative and agentic AI systems, working closely with and learning from experienced validators.
Support the independent evaluation and challenge of AI-enabled tools, agents and quantitative models, including hands-on assessment of inputs, assumptions, conceptual soundness, performance and limitations, with the support of the wider team
Assist with AI model risk management activities, including the identification, assessment and testing of risks specific to GenAI and agentic AI
Contribute to validation analyses, including model replication, sensitivity testing, benchmarking, and ad-hoc quantitative investigations
Contribute to validation deliverables, from drafting test plans to documenting results, under the guidance of the validation lead
Contribute to the development of internal tools that streamline and automate parts of the validation workflow — for example, validation report drafting, test plan generation, and automated test plan execution — helping to define requirements, prototype solutions, and assess whether the outputs meet the team's quality and documentation standards
Maintain clear separation between model development and independent review, preserving the independence of MRG’s conclusions
Share practical knowledge of GenAI and agentic AI tooling gained through your studies and projects with the team
Apply the team’s execution standards, contributing to a culture of effective challenge, continuous improvement, and practical application of model risk frameworks and policies
About the Team
The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. By joining our team, you will be part of exciting work at the intersection of credit risk and Generative and agentic AI model risk management.
Moody's 10-week summer internship program is a premier opportunity for students to immerse themselves in a hands-on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program takes place each summer from June – August and positions are available for undergraduate