Model Validation Summer Intern

Moody's Corporation; New York (NY); On-site; USD 47,000 - 50,000; Full time

Job summary

Moody’s Corporation is offering a 10-week summer internship in the Quantitative Review group focusing on evaluating and governing generative and agentic AI systems within credit risk analytics.

The role involves independent evaluation of AI-enabled tools, execution of validation analyses, and development of internal tools to streamline validation workflows. It offers mentorship, networking events, and a hands-on learning environment with real project impact.

Qualifications

• Pursuing a degree in quantitative/technical field such as computer science, AI, ML, math, physics or engineering.
• Graduation window Dec 2027 – Jun 2029; available Jun 7–Aug 13, 2027.
• Strong mathematical and analytical skills with interest in credit risk and financial products.

Responsibilities

• 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

Skills

Agentic AI exposure

GenAI fundamentals

AI evals interest

AI risk management

Credit risk & quantitative modeling

Python proficiency

ML/Analytics experience

Organization & attention to detail

Strong communication

Education

Bachelors/Masters/PhD in quantitative/technical field

Graduation 2027–2029

Summer 2027 program Dates

Job description

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.

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

• 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 and select graduate students. Internships are full‑time, offering a comprehensive view of Moody's business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events. Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody's professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody's intern, you will gain real‑world experience, turn inputs into actions, and be integral part of the team.

For US-based roles only: the anticipated hiring hourly wage for this position is $35/hr.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

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.