Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering an inclusive environment where everyone feels welcome to be themselves, exchange ideas, and innovate. As a global leader in ratings and integrated risk assessment, Moody’s is advancing AI to move from insight to action—enabling intelligence that understands complexity and responds to it. We decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence.

The Modeling & Quant Analytics - AI & Agentic Model Validation role involves independent evaluation and challenge of models, scorecards, and agents used in credit rating activities across asset classes, with a focus on AI model risk management. The successful candidate will bring strong practical expertise in Generative and agentic AI and actively contribute to advancing Moody’s approach to evaluating and governing these systems.

Key responsibilities include carrying out independent evaluation and challenge of AI-enabled tools, agents, and quantitative models; performing AI model risk management activities; designing and delivering complex validation analyses; delivering clear validation outputs; maintaining independence between model development and review; building AI model risk capability within the team; and promoting rigorous execution standards and continuous improvement.

Experience
- 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 with demonstrated experience building, deploying, and evaluating AI agents and multi-agent systems
- Practical knowledge of agent evaluation techniques including task-success testing, hallucination detection, robustness testing, bias and fairness assessment, adversarial testing, and red-teaming
- Strong LLM/GenAI engineering fluency including prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, and failure-mode analysis
- Proven track record of taking advanced AI systems from prototype to production with attention to reliability, safety, and responsible AI controls
- Proficiency in programming languages such as R, Python, MATLAB, and SQL; knowledge of C++ preferred
- Experience in model validation, model risk management, or independent review is advantageous
- Relevant professional or research experience in AI, machine learning, quantitative analytics, software engineering, or related disciplines
- Strong organizational skills, ability to prioritize competing demands, and deliver high-quality outputs independently and collaboratively
- Excellent communication skills, able to articulate complex ideas clearly to technical and non-technical audiences

About you
You bring energy and initiative, take ownership of your work, build trusted relationships, and role model a growth mindset and effective challenge across the team. You are highly organized, efficient, detail-oriented, and able to work to tight deadlines. You embody Moody’s values by investing in relationships, leading with curiosity, championing diverse perspectives, turning inputs into actions, and upholding trust through integrity.

Qualifications
- Strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics, or engineering
- Preference for candidates holding a post-graduate degree
- Demonstrated, applied agentic AI capability is weighted alongside formal credentials
- A solid understanding of quantitative finance, modeling, and model validation, as well as financial products and markets, is valued but not essential for exceptional AI candidates