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
- Strong analytical skills with hands-on experience understanding complex data structures, schemas, and migration requirements, combined with proficiency in extract, transform, and load processes across enterprise environments.
- 3-7 years’ experience required for this role. Proficiency in SQL for data querying, manipulation, and validation, with experience mapping data fields between source and target systems to meet business rules and technical requirements.
- Knowledge of data validation techniques, data quality assurance best practices, and data governance principles, including documentation of business rules, standard operating procedures, and data lineage.
- Familiarity with enterprise platforms such as SAP or NetSuite, and hands-on experience with reporting and automation tools including Power Automate, Power BI, Alteryx, or Databricks; experience with master data management tools such as Collibra or DBeaver preferred.
- Excellent verbal and written communication skills with strong problem-solving ability; capable of collaborating across business users, data stewards, and technical teams while clearly explaining technical concepts to non-technical stakeholders
- 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 / postgraduation degree in finance or Computer Science, Information Systems, Data Management, or a related field required
Responsibilities
- Supports enterprise-wide data migration initiatives by ensuring the accuracy, integrity, and consistency of data as it transitions across systems.
- Analyzes data structures and identifies migration requirements, collecting, cleaning, and validating datasets from multiple source systems
- Documents business rules for data quality checks and applies validation and quality assurance techniques to ensure data accuracy, integrity, and consistency throughout the migration lifecycle
- Maps data fields from source to target systems and transforms data to align with new system requirements and business rules
- Executes data migration processes including extraction, transformation, and loading, monitoring migration progress and troubleshooting issues in real time
- Identifies and resolves data discrepancies, errors, and anomalies, collaborating with technical teams to implement corrective actions
- Prepares reports, dashboards, and visualizations to highlight key trends and document data quality issues for stakeholder review
- Works closely with business users, data stewards, and technical teams to gather requirements, communicate progress, and facilitate cross-functional alignment to ensure a smooth migration transition
- Creates and maintains comprehensive documentation including migration plans, data mappings, validation rules, standard operating procedures, and post-migration reports to support governance and audit readiness
About the Team
Our Ratings Operations and Controls (ROC) team is responsible for supporting the data management, quality, and operational processes that underpin Moody's global ratings and research activities. We contribute to Moody's by ensuring the highest standards of data accuracy and consistency across critical systems, enabling seamless data transitions that support business continuity and analytical integrity, and driving operational efficiency through technology, automation, and AI-enabled solutions. By joining our team, you will be part of exciting work in enterprise data migration, digital transformation, and process innovation across our Gurgaon operations.
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.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.