Lead Specialist-Analytic Data Operations

Let's begin! Lead Specialist-Analytic Data Operations (14006)

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.

• 6+ years of relevant experience in credit, financial data, or data operations roles, with Structured Finance experience across ABS, RMBS, and CLOs preferred
• Strong understanding of financial data concepts, including data relationships, business context, and how data supports analytical processes and outcomes
• Strong SQL, data management, and data quality expertise, with the ability to work with large datasets and ensure accuracy and integrity
• Strong analytical, problem-solving, and investigative skills, with the ability to identify root causes and implement scalable solutions
• Ability to manage multiple priorities and deliver high-quality outcomes within deadlines while maintaining strong quality control standards
• Effective communication and collaboration skills, with the ability to build relationships across cross-functional teams and stakeholders
• Experience leveraging technology, automation, and process improvement techniques, with familiarity in tools such as Python, Power BI, Alteryx, or similar platforms preferred
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

• Bachelor’s or Master’s degree in Finance, Economics, Business, or Accounting
• Advanced Microsoft Excel skills and strong proficiency across the wider Microsoft Office suite

Lead data operations and analytics initiatives to support high-quality financial data processes, research workflows, and business outcomes.

• Lead projects supporting data, ratings, research, and analytical outreach, applying technical expertise to improve processes and manage data intake, normalization, and processing
• Take full ownership of assigned outputs, ensuring accuracy, timeliness, and completion of quality reviews to identify improvement opportunities
• Lead process re‑engineering efforts and champion automation initiatives to improve operational efficiency and scalability
• Oversee transitions to team members and outsourcing partners, ensuring consistency and quality of deliverables
• Lead projects or working groups focused on methodology changes, automation, and process standardization
• Support global data and technology initiatives, including requirements gathering and documentation
• Manage relationships with key stakeholders and coordinate cross‑functional initiatives across regions and teams

Being part of the Structured Finance Analytic Data Operations team offers a unique opportunity to contribute to Moody’s Ratings by managing financial and analytical data in a cost‑effective, controlled, and high‑quality manner. The team focuses on operational excellence, innovation, and continuous improvement of data processes and analytical workflows. As part of a global organization, you will collaborate across regions, gain exposure to diverse asset classes and markets, and play a key role in…