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.
Applications for this position will be accepted from September 14 through September 28. We encourage interested candidates to apply early to ensure full consideration.
Skills and Competencies
- Proficiency in Microsoft Excel, including formulas and pivot tables, to organize and analyze operational data; required
- Working knowledge of SQL or another query language to extract, compare, and reconcile data across multiple systems; preferred
- Familiarity with data visualization or business intelligence tools to present findings clearly; preferred
- Strong analytical and problem-solving skills with close attention to detail, critical to identifying and resolving data discrepancies; required
- Effective written and verbal communication skills to document and communicate data structures and findings to technical and non-technical audiences; required
- Exposure to IT asset management or configuration management database (CMDB) tools; preferred
- General understanding of cloud computing or network infrastructure concepts; preferred but not required
- Familiarity with prompt engineering to use AI tools efficiently for completing tasks and troubleshooting data quality issues; required
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Education
- Currently pursuing a degree in a STEM field, such as Data Analytics, Computer Scienc