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. Skills and Competencies Superb analytical skills with a strong ability to solve problems, learn independently, and work with complex datasets Proficiency in SQL (SQL Server, PostgreSQL, MySQL) and scripting languages like Python Strong logical thinking and ability to develop robust code for data analysis and quality control processes Excellent written and oral communication skills, with keen attention to detail and accuracy Ability to interpret and analyze financial statements such as 10Ks and 10Qs, with knowledge of US GAAP, IFRS, and other accounting principles 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 Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering, or a related field is required At least 1‐2 years of relevant experience Graduate degree and/or relevant certifications are a plus Responsibilities As a Data Quality Associate, you will contribute to generating and delivering industry‐leading risk metrics for Moody's Analytics products. This position involves a blend of qualitative and quantitative financial research and technical skills to source and maintain credit risk data and models. You will ensure accurate and timely financial data delivery by managing data acquisition, processing, and validation while collaborating with cross‐functional teams. This role is ideal for quick learners passionate about data insights, problem‐solving, and understanding credit risk models. Adopt a holistic and strategic approach to data processes, focusing on systemic improvements while demonstrating accountability Monitor and analyze data quality trends, developing metrics and strategies to improve data accuracy and consistency Design, implement, and maintain data quality monitoring, reporting processes, and data processing pipelines to support credit risk models and related products Conduct data profiling, analysis, and validation to identify discrepancies, resolve issues, and enhance data accuracy Extract financial information from publicly available company reports, map financial line items to model inputs, and apply data transformation techniques to standardize data for analysis Stay updated with financial reporting standards to ensure accurate categorization and interpretation of financial data Develop and implement AI‐powered data quality strategies, leveraging generative AI and large language models to enhance processes and products Build reports using business intelligence tools to highlight data trends and discrepancies, contributing actionable insights Collaborate with engineering, IT, and development teams to ensure seamless delivery of accurate data to clients Support data inquiries and issues with timely and precise resolutions, maintaining high‐quality standards Contribute to process automation and optimization efforts, documenting workflows and ensuring scalability About the Team The Banking Group transforms data into state‐of‐the‐art analytics, enabling clients to make better decisions in the face of uncertainty. Our clients span a wide range of industries, including banking, insurance, commercial real estate, and more. They leverage our economic research to evaluate creditworthiness, monitor risks, and identify opportunities when making major investment decisions as part of their corporate strategies. Our team comprises intellectually curious economists, data scientists, and IT professionals who combine technical expertise with a deep commitment to understanding clients' needs. 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. #J-18808-Ljbffr