Modeling & Quant Analytics - AI & Agentic Model Validation

London, United Kingdom

At Moody's, 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

• A strong understanding of AI model risk management, including risks and controls specific to Generative AI and agentic AI, and their implications for model validation and governance
• Practitioner-level agentic AI skills: a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including tool use, orchestration and state management using modern agent frameworks
• Strong, practical knowledge of agent evaluation (evals):task-success and trajectory testing, grounding and retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming
• Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool misuse, error propagation across steps)
• Track record of taking advanced AI systems from prototype to production, with attention to reliability, safety, and responsible-AI controls
• A solid understanding of quantitative finance, modeling and model validation, together with financial products and markets, is valued. This is desirable rather than essential for candidates who bring exceptional AI and agentic depth
• Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established codebase, knnowledge of C++ programming is preferred
• Experience in model validation, model risk management or independent review is an advantage. For an outstanding AI technologist, domain expertise in credit model risk can be further developed through close collaboration with experienced validators; prior work in credit, counterparty or market risk is helpful context rather than a prerequisite
• Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over years of experience
• Drive and ownership: bring energy and initiative, take ownership of your work, build trusted relationships, and role model a growth mindset and effective challenge across the team
• 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, with strong written and spoken English

Education

• A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree.
• Demonstrated, applied agentic AI capability is weighted alongside formal credentials

Responsibilities

The role carries out 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 bring strong, practical expertise in Generative and agentic AI and play an active role in advancing the organizations approach to evaluating and governing these systems.

• Carry out the independent evaluation and challenge of AI-enabled tools, agents and quantitative models, including detailed assessment of inputs, assumptions, conceptual soundness, performance and limitations, building credit model-validation rigor with the support of the wider team
• Perform AI model risk management activities, including identifying, assessing, and mitigating risks associated with GenAI and agentic AI
• Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad-hoc quantitative investigations
• Deliver validation outputs, from test plan design through clear, concise validation reporting and effective challenge of model developers
• Maintain clear separation between model development and independent review, preserving the independence of MRGs conclusions
• Build AI model risk capability within MRG, sharing GenAI and agentic AI expertise, advancing the team's evaluation capabilities, and developing subject-matter expertise across analytical and methodology teams
• Drive rigorous execution standards and culture, promoting 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.

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 Moody's 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.