AVP-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 8+ years of experience in operational risk management within a financial institution, with strong execution of RCSAs, control assessments, and first line of defense accountability Deep knowledge of operational risk frameworks, controls design and testing, and effective partnership with Internal Audit, Compliance, and 2nd Line Risk Hands-on experience across the AI solution lifecycle, working closely with data science, technology, and product teams Strong expertise in AI model governance and Responsible AI risk management, including validation, transparency, explainability, privacy, bias, and third-party risk Proven ability to translate AI and technology risks into clear business impact and influence senior stakeholders Hands-on experience with Power BI dashboard maintenance and development, including DAX and advanced functionality Education Bachelor’s degree in Finance, Risk Management, Business, Technology, or a related discipline. Relevant professional certifications are preferred

Responsibilities Drive and oversee implementation of the R&R Risk Management Strategy and Framework, including governance over AI-enabled processes and tools Lead Risk & Control Self-Assessments across R&R, including technology and AI/GenAI use cases, and report results to senior leadership and Risk Committees Own the quarterly RCSA refresh, ensuring controls are mapped to AI-related risks such as model error, bias, explainability, and data lineage Establish and maintain an effective issues and events management framework with strong root-cause remediation Develop and monitor Key Risk Indicators, including AI adoption and model risk indicators, and track remediation outcomes Enhance risk data capture and reporting, including AI governance reporting and opportunities for automation Promote a strong risk awareness culture with emphasis on Responsible AI and front-line accountability Act as a liaison with Compliance, Regulatory Affairs, and Internal Audit, ensuring audit-ready documentation Maintain and enhance Power BI dashboards to support R&R leadership reporting