Data Management Analyst
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 12, 2026. Moody's scores B on the Alion truth index.
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
- 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
- Bachelor's 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
About the Team
Our Content Solutions - Structured Finance team is responsible for acquiring, managing, and delivering high-quality structured finance data that powers Moody's analytics solutions and client offerings
By joining our team, you will:
Help drive the quality, accuracy, and coverage of structured finance datasets used across Moody's products
Collaborate with global teams across data operations, technology, and product functions
Contribute to innovative data management and governance initiatives that support business growth and operational excellence
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.