Data Management Analyst

Moody's Corporation; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Moody's Corporation in Bengaluru seeks a data management professional to support governance and quality of structured finance data. You will manage lifecycle for RMBS, ABS, CMBS, and CDO datasets, ensuring accuracy, completeness, and downstream usability.

The role requires hands-on SQL, data governance expertise, and collaboration with global teams. Experience with Python/VBA and data enrichment is preferred; a business/finance background is advantageous.

Qualifications

• Bachelor’s degree in a related field is required; MBA or equivalent graduate degree preferred.
• Experience in data management, data governance, or related analytical functions is expected.
• Strong knowledge of structured finance products and datasets is essential.

Responsibilities

• Support acquisition, management, governance, and quality of structured finance data.
• Manage end-to-end production lifecycle for structured finance datasets (RMBS, ABS, CMBS, CDOs).
• Acquire, validate, transform, and maintain data to support analytics products and operations.
• Monitor data quality, investigate discrepancies, and implement corrective actions.
• Coordinate vendor submissions, inquiries, requirements, and acceptance criteria.
• Partner with Data Operations and Development teams to prioritize requirements.
• Establish and maintain structured asset data governance processes and controls.
• Lead data cleansing, enrichment, and process optimization initiatives.
• Contribute to enterprise data quality and Master Data Management initiatives.
• Evaluate new technologies and best practices to enhance data management capabilities.

Skills

Data governance

SQL

Data quality

Structured finance knowledge

Python/VBA scripting

Data management

Stakeholder collaboration

SDLC familiarity

Data acquisition

Education

Bachelor's degree in Business, Finance, Economics, Data Management, Information Systems, CS

Tools

SQL tooling

ETL/Data pipelines

Job description

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.

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.