Data Management Analyst

Job Summary

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

• 2 to 5 years of experience in data management, data quality, data governance, or related analytical functions
• Strong knowledge of structured finance products, including Residential Mortgage-Backed Securities, Asset-Backed Securities, Commercial Mortgage-Backed Securities, and Collateralized Loan Obligations
• Experience working with data acquisition, validation, enrichment, cleansing, and Master Data Management initiatives
• Advanced SQL skills with the ability to analyze, transform, and manage large datasets
• Strong analytical and problem-solving skills, including root cause analysis and process improvement
• Excellent communication and collaboration skills with the ability to work effectively across global and cross-functional teams
• Experience with Python, VBA, automation, or scripting tools is preferred
• Knowledge of project management practices and software development lifecycle methodologies is preferred

Education

• Bachelors degree in Business, Finance, Economics, Data Management, Information Systems, Computer Science, or a related field required/ MBA or equivalent graduate degree preferred

Responsibilities

• Support the acquisition, management, governance, and quality of structured finance data to enable downstream products, analytics, and business growth
• Manage the end-to-end production lifecycle for structured finance datasets, including agency and non-agency residential mortgage-backed securities, asset-backed securities, commercial mortgage-backed securities, and collateralized debt obligations
• Acquire, validate, transform, and maintain data to support analytics products and operational processes.
• Monitor data quality, investigate discrepancies, and implement corrective actions to ensure data accuracy, consistency, and completeness
• Coordinate vendor operations by managing submissions, resolving inquiries, defining requirements, establishing acceptance criteria, and approving deliverables
• Partner with Data Operations and Development teams to prioritize requirements, create and track work items, and support production activities
• Establish and maintain structured asset data governance processes, standards, and controls
• Lead initiatives focused on data cleansing, enrichment, and process optimization to improve operational efficiency and data integrity
• Contribute to enterprise-wide data quality and Master Data Management initiatives
• Evaluate and recommend new technologies, tools, and best practices that enhance data management capabilities
• Support cross-functional stakeholders through analysis, reporting, and continuous improvement efforts

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.