$71,000 – $93,000
Listed on Moody's Corporation’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role monitors and improves data quality for Moody's credit risk analytics tools, combining financial data validation with data engineering and automation. It suits analytically-minded professionals who enjoy problem-solving across SQL, Python, and financial reporting standards while increasingly leveraging AI tools.
Our summary, not Moody's Corporation’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Analytical skills and logical thinking for data quality control
- SQL proficiency (SQL Server, PostgreSQL, or MySQL)
- Experience with Python scripting
- Statistical analysis experience (R or equivalent)
- MS Office and Excel proficiency
- Ability to read and interpret 10-K and 10-Q filings
- Knowledge of US GAAP and IFRS accounting standards
- Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering, or related field
Nice to have
- AWS experience (Glue, Athena)
- Large Language Models experience
- Business Intelligence tools (Tableau, Qlik, R Shiny)
- ETL tools (CloverETL)
- Graduate degree
- 1–2 years of relevant work experience
- AI hands-on experience and AI risk awareness