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Job overview
Moody’s Analytics is seeking a risk management leader to oversee the Ratings and Research risk framework, with emphasis on operational, technology, and AI-related risks. The role leads risk assessments, reports themes to senior leadership, and partners across technology, compliance, and risk functions. Candidates should bring extensive operational risk experience in financial institutions, AI lifecycle and governance expertise, and a relevant bachelor’s degree or equivalent practical experience.
Skills & qualifications
Skills
Qualifications
Full job description
13189 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 * Extensive experience in operational risk management within a financial institution, including execution of Risk and Control Self Assessments, evaluation of control effectiveness, and operating as a strong first line of defense risk leader * Deep understanding of operational risk frameworks, controls design and testing, and effective partnership with compliance, internal audit, and second line risk functions in technology-enabled environments * Hands-on experience with artificial intelligence-powered applications across the full lifecycle, including intake, requirements, testing and validation, deployment, and ongoing monitoring * Expertise in artificial intelligence model and solution governance, including validation, transparency, explainability, monitoring, and responsible artificial intelligence risk management such as privacy, security, and bias considerations * Demonstrated ability to translate complex technology and artificial intelligence risks into clear business impacts for senior stakeholders * Strong analytical, communication, and influencing skills, with the ability to work independently and effectively across global, cross-functional teams * 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 organization.Education * Bachelor's degree or equivalent practical experience in a relevant field such as finance, risk management, business, technology, or a related disciplineResponsibilitiesDrive and oversee the implementation of the Ratings and Research risk management strategy and framework, with a strong focus on operational, technology, and artificial intelligence-related risks. * Lead Risk and Control Self Assessments across Ratings and Research in line with enterprise standards, including coverage of technology and artificial intelligence use cases * Identify, assess, and report key risk themes and trends to senior leadership and relevant risk management committees * Establish and maintain issues and events management processes, including escalation, remediation tracking, and reporting on control weaknesses * Develop, monitor, and report Key Risk Indicators for critical business risks, including artificial intelligence adoption and model risk metrics * Partner with technology and risk teams to enhance data capture, automation, and reporting for business and artificial intelligence governance * Promote risk awareness and front-line accountability by embedding risk-by-design principles into business processes, technology delivery, and artificial intelligence deployments * Act as a key liaison with compliance, regulato
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