Vice President - Modeling & Quant Analytics (MRG)

the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within

the team Translate strategy into actionable goals: Ensure

the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for

the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post-graduate degree.

Responsibilities

The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands‑on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end‑to‑end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad‑hoc quantitative investigations. Own validation outputs end‑to‑end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject‑matter expert 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. #LI-Hybrid 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.

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