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
- Execution-focused, highly structured approach with strong ownership and accountability for outcomes
- Deep expertise in data quality management, data remediation, and incident response
- Strong hands-on technical skills in SQL and Python, including Pandas and NumPy
- Experience with ETL processes, data integration, and data modeling
- Ability to operate effectively in fast-paced, client-critical environments
- Clear and confident communicator across technical and business stakeholders
- Proven capability in client-facing data operations and operational execution
- Experience coordinating cross-functional stakeholders and managing multiple concurrent workstreams
- Contractor oversight, workforce coordination, and working knowledge of workforce management principles
- Data visualization and reporting experience using Power BI, Tableau, or QlikView
- Familiarity with Databricks, relational databases, and large-scale data platforms; Spark and PySpark preferred
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field
- Serve as a primary point of contact for client-facing data remediation issues, supporting triage, prioritization, and resolution of critical data incidents
- Execute against defined remediation strategies, ensuring delivery aligned to SLAs, quality standards, and governance requirements
- Coordinate responses for high-priority issues, providing clear communication on status, risks, dependencies, and next steps
- Escalate complex or sensitive issues with structured insights, root-cause analysis, and actionable recommendations
- Monitor and improve data quality across multiple data sources, ensuring accuracy, completeness, and consistency
- Apply hands-on SQL and Python expertise to analyze, validate, and support data remediation activities
- Support data deduplication and entity resolution efforts to strengthen core data assets
- Execute established data workflows, pipelines, and ETL processes to ensure efficient and reliable processing
- Identify opportunities for automation and operational efficiency within existing data frameworks
- Utilize tools such as Databricks and Power BI to support data processing, monitoring, and performance tracking
- Monitor workflows to identify bottlenecks and support timely issue resolution
- Provide day-to-day coordination of contractor resources, including task allocation, workload balancing, onboarding support, and quality oversight
- Monitor contractor output against defined playbooks, standards, and performance expectations
- Support capacity planning, workload assessment, and adjustments to maintain operational continuity
- Support execution of remediation initiatives through structured task management and milestone tracking
- Maintain accurate documentation of remediation activities, decisions, and outcomes
- Produce and support operational reporting on volumes, trends, risks, and performance metrics
- Identify recurring issues and contribute to continuous improvement, upstream fixes, and refinement of remediation playbooks and intake processes
- Collaborate with cross-functional partners to ensure alignment with broader data and product strategies
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.