VP-Artificial Intelligence; AI Risk Management

Position: VP-Artificial Intelligence (AI) Risk Management
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.

Skills and Competencies

• 10+ years of experience in risk management, digital economy, AI/ML, and blockchain, with a related concentration in Technology governance, risk and control self-assessment (RCSA), identifying and evaluating control measures, and compliance with financial services.

• Hands‑on experience developing AI and GenAI‑powered applications is a must

• Deep expertise in AI model lifecycle governance (validation, transparency, explainability) combined with a track record of assessing and managing risk appetite in emerging technology domains, and practical experience with DeFi and blockchain operational risk.

• Broad‑based technology experience at substantial scale and complexity in a global, highly regulated environment.

• Establishing and maintaining relationships between business and technical stakeholders.

• Evaluating and prioritizing strategic initiatives, balancing the needs of different stakeholders, and driving alignment.

• Clear Thinker with strong analytical skills to review complex processes.

• Effective communication skills, both verbal and written.

• Ability to work independently with or without direction and/or supervision.

• Demonstrated ability to effectively interface with a diverse, global, and cross‑functional team and led large‑scale projects.

• Ability to influence cross‑functionally and enterprise‑wide and assert second line risk responsibility to challenge and influence in a highly consultative and effective manner.

• Ability to prioritize and multitask, flexibility and adaptability in work approach.

Education / Certifications

• B.S. in a technology discipline (Computer Science, Information Management, Computer Engineering, Cyber Security or equivalent).

• Relevant certification is desirable, e.g., CISSP, CISM, CISA. Working knowledge of Risk Management life cycles based on established frameworks: NIST, COBIT, ORX, ISO 27001.

Responsibilities

The Digital Economy and AI Risk Management VP is a key member of the 2nd Line of Defence Risk Management team, tasked with assisting the 1st Line of Defence manage operational risk emanating from the rapidly evolving landscape of artificial intelligence (AI), decentralized finance (DeFi), blockchain technologies, and the digital economy. The role is responsible for supporting the ORM framework designed to identify, assess, mitigate, and report on operational risks as it relates to AI development and deployment, the complexities of Web 3.0 (i.e., blockchain), and digital asset innovation.

• Review and Challenge: leveraging their subject matter expertise, provide independent review and credible challenge to the Digital Economy risk profile and associated implementation of the ORM framework.

• Governance: actively engage at various committees/forums representing 2nd LoD Risk and provide subsequent updates on changes to the Digital Economy risk profile.

• Risk Appetite: develop, maintain, and communicate risk appetite for digital and AI‑driven initiatives, ensuring alignment with organizational goals and regulatory expectations.

• Risk and Control Self‑Assessments (RCSA): initial challenge of the 1st LoD RCSA’s in‑line with the ORM…