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VP-Artificial Intelligence; AI and Technology Risk Management

Job in New York, New York County, New York, 10261, USA
Listing for: Moody's Investors Service
Full Time position
Listed on 2026-05-19
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 163300 - 236800 USD Yearly USD 163300.00 236800.00 YEAR
Job Description & How to Apply Below
Position: VP-Artificial Intelligence (AI) and Technology Risk Management
Location: New York

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 across the digital economy, AI/ML, and blockchain with a strong focus on technology governance, RCSA, control evaluation, and financial services compliance
  • Hands‑on experience developing AI and GenAI‑powered applications
  • Deep expertise in AI model lifecycle governance including validation, transparency, and explainability, with experience assessing and managing risk appetite in emerging technology domains
  • Practical experience with decentralized finance and blockchain operational risk
  • Broad‑based technology experience operating at scale and complexity in a global, highly regulated environment
  • Proven ability to establish and maintain strong relationships between business and technical stakeholders
  • Demonstrated capability to evaluate and prioritise strategic initiatives while balancing diverse stakeholder needs and driving alignment
  • Clear thinker with strong analytical skills to review and challenge complex processes
  • Strong verbal and written communication skills
  • Ability to work independently with or without direct supervision
  • Demonstrated success leading large‑scale initiatives with diverse, global, and cross‑functional teams
  • Ability to influence cross‑functionally and enterprise‑wide while asserting second line risk responsibility in a consultative manner
  • Strong prioritisation, multitasking, flexibility, and adaptability skills
  • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI‑related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organisation
Education/Certifications
  • Bachelor’s degree in a technology discipline such as Computer Science, Information Management, Computer Engineering, Cyber Security, or equivalent
  • Relevant professional certifications preferred including CISSP, CISM, or CISA
  • Working knowledge of risk management lifecycle frameworks such as NIST, COBIT, ORX, and ISO 27001
Responsibilities
  • Serve as a senior second line risk leader supporting the management of operational risk related to AI, blockchain, DeFi, and the digital economy
  • Develop, maintain, and communicate risk appetite for digital and AI‑driven initiatives aligned with business objectives and regulatory expectations
  • Provide independent review and credible challenge of the Digital Economy risk profile and the implementation of the ORM framework
  • Represent second line risk at governance committees and forums and communicate changes in the Digital Economy risk profile
  • Challenge first line RCSAs for quality, completeness, and adherence to ORM standards and support escalation and reporting
  • Review and challenge operational risk events to ensure appropriate response, escalation, root cause analysis, and remediation
  • Challenge the design, thresholds, and reporting of key risk indicators including first line rationale for breaches or material changes
  • Monitor and challenge emerging and evolving risks, ensuring timely…
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