Manager - Analytic Data Operations

Job Summary

Mo 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

• 5-6 years of experience in accounting, finance, financial statement analysis, or financial data operations

• Strong understanding of accounting principles, financial statements, and financial analysis

• Proactive attitude with strong analytical, problem-solving, and communication skills

• Ability to collaborate across teams and effectively support analysts and operational stakeholders

• Experience developing and maintaining process documentation, training materials, and knowledge management resources

• Proficiency in Microsoft Excel, Word, and PowerPoint; familiarity with Power BI, Power Automate, SQL, Python, or data analytics tools preferred

• Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment

• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

  Education

• Masters degree in Accounting, Finance, Business, or a related field required

• Advanced credentials such as CFA, CPA, CA, or MBA in Finance are desirable

  Responsibilities

Deliver high-quality analytic data, guidance, and knowledge management support to enable efficient and consistent ratings and research processes.

• Determine and drive initiatives to standardize, optimize, and improve financial data processes

• Resolve financial data, accounting, and process-related queries from Financial Data Analysts and outsourcing teams

• Develop and maintain documentation, training materials, operating procedures, and governance resources

• Design and deliver training programs and support onboarding and upskilling initiatives

• Collaborate with Accounting Specialists, analysts, and technology teams to implement process updates and enhancements

• Monitor data quality, identify trends, and recommend improvements to strengthen operational effectiveness

• Represent the Knowledge Management function in cross-functional projects and enterprise-wide initiatives

• Apply artificial intelligence tools to streamline workflows and enhance operational efficiency, while demonstrating growing awareness of responsible and ethical AI use

  About the Team

Our Analytic Data Operations team is responsible for ensuring the accuracy, consistency, and timeliness of data used in Moody's ratings and research. We contribute to Moody's by enhancing data quality and consistency across global teams, supporting analytical workflows through standardized processes, training, and governance, and driving innovation in knowledge management, process improvement, automation, and AI adoption.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.