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
Master's 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.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.