Data Quality Associate

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.

• Superb analytical skills with persistence in problem solving and the ability to learn quickly and independently; strong logical thinking with the ability to develop robust code for data analysis and quality control processes
• Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
• Strong communication skills, with the ability to present data analysis findings in a clear, structured manner to both technical and non-technical stakeholders; able to break down complex data quality issues into simple, accessible explanations
• Proficiency in SQL (SQL Server, PostgreSQL, MySQL); experience with a scripting language (Python) and a statistical package (R); proficiency in MS Office, especially MS Excel
• Experience working with AWS (Glue, Athena) and Large Language Models
• Ability to correctly read and interpret financial statements such as 10-K and 10-Q filings; working knowledge of US GAAP, IFRS, and other regional accounting principles
• Exposure to third-party Business Intelligence tools (e.g., Tableau, Qlik, R Shiny) and ETL tools (e.g., CloverETL) — preferred
• 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

• Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering, or a related field required
• Graduate degree and/or 1–2 years of relevant work experience is a plus

Drive data accuracy and integrity for Moody's Analytics industry‑leading credit risk measurement tools by managing data acquisition, processing, quality monitoring, and analytical reporting.

• Monitor and analyze data quality trends and develop strategies to improve data quality over time; develop and maintain data quality metrics to measure the effectiveness of data quality processes
• Design and implement data quality monitoring and reporting processes to ensure ongoing data accuracy and consistency
• Conduct data profiling and analysis to identify data quality issues and recommend actionable solutions
• Build and maintain data processing pipelines and calculations to feed credit risk measurement products and related models
• Extract financial information and equity data from publicly available company reports to conduct thorough validations and reconcile data obtained from external vendors with public disclosures
• Map financial line items from company reports to specific model inputs; apply data transformation techniques to…