Data Quality Associate

About the role

Moody’s is 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.

Responsibilities

• 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 standardize and prepare data for analytical processing; stay current with financial reporting standards.
• Identify opportunities to improve data operations processes through automation or other means; build data models for input and output of credit risk models; perform quality control on data by analyzing patterns and discrepancies.
• Develop and implement AI-powered data quality strategies to improve the accuracy, completeness, and consistency of data assets; maintain up-to-date knowledge of advancements in generative AI and translate this expertise into actionable designs.

Skills and Competencies

• 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.

Education

• 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.

About The Team

The Banking Group at Moody’s Analytics transforms data into state-of-the-art analytics that help clients make better decisions in the face of uncertainty. Serving clients across banking, insurance, commercial real estate, and many more industries, our team delivers economic research and credit risk tools used to evaluate credit-worthiness, monitor risk, and support major investment decisions. Our Data Team manages the critical processes that ensure the accuracy and timely delivery of vital financial data linked to our industry-standard credit risk measurement tools and software applications. Made up of intellectually curious economists, data scientists, and IT professionals, we combine deep technical skills with a strong drive to understand client needs — and we are actively embracing AI and automation to shape the future of financial risk analytics.

Pay

For US-based roles only: the anticipated hiring base salary range for this position is $75,900.00 – $110,100.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation.

Benefits

• Medical, dental, vision, and parental leave.
• Paid time off and a 401(k) plan with employee and company contribution opportunities.
• Life, disability, and accident insurance.
• Discounted employee stock purchase plan and tuition reimbursement.