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.
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

• 7+ years of demonstrable experience in core product management practices (road mapping, prioritization, feature definition), particularly in dynamic project environments where scope and requirements evolve.
• Minimum of 10 years’ experience collaborating with cross-functional teams across business units and geographies to drive alignment and execution. Experience working with senior stakeholders is highly preferred.
• 7-10 years’ experience in systematic requirements gathering, stakeholder interviewing, and managing risks when project parameters are unclear.
• Experience within financial services, particularly involving large datasets and statistical modeling, is preferred.
• Proven ability to analyze, optimize, or establish new workflows to improve efficiency, scalability, and cross-functional alignment.
• Demonstrated ability to communicate complex technical concepts in a clear, tailored manner to diverse stakeholders.
• Proficiency in leveraging GenAI tools to synthesize complex stakeholder inputs and generate structured requirements is a plus.
• Familiarity with credit risk modeling concepts, methodologies, and their applications in financial services is preferred.
• Experience using Jira and having a background in data analysis are preferred.

EDUCATION

• Bachelor’s degree in a relevant field such as Finance, Economics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline is required.
• An advanced degree is preferred.

• Lead discussions with product management and strategy teams to develop novel analytical solutions in environments where initial scope and requirements are unclear or evolving.
• Collaborate closely with research teams, data scientists, and business stakeholders to progressively define project requirements and scope boundaries.
• Manage cross-functional teams working on complex projects involving large datasets, statistical modeling, and AI agent systems.
• Conduct stakeholder interviews and requirements elicitation across multiple business segments to extract insights and clarify understanding.
• Assess project feasibility, manage risks, and make informed decisions with incomplete information to ensure deliverable outcomes.
• Translate research findings and technical capabilities into actionable product features that deliver measurable business value.
• Navigate ambiguous project environments while maintaining focus on strategic objectives and business outcomes.
• Coordinate with senior business leaders to align product initiatives with organizational goals and market opportunities.