Data Steward, Operations — Ratings Data

KBRA; New York (NY); Hybrid; USD 75,000 - 90,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive benefits

Paid time off

401(k) match

Education and professional development

Employee referral bonus

Job summary

KBRA is seeking a mid-level Data Steward for Data Operations in New York. You will manage entities, transactions, securities, ratings, and reference data across the rating lifecycle, ensuring accuracy and timeliness.

The role emphasizes data quality, SOP adherence, and collaboration with analytics, compliance, and technology teams. Responsibilities include processing complex requests, researching data discrepancies, and contributing to automation and process improvements.

Qualifications

• 3+ years in financial services or 2+ years in a credit rating agency.
• Bachelor's degree in finance, economics, business, IS, STEM, or related field.
• Experience with fixed‑income data, entity management, or ratings operations preferred.
• Strong analytical and problem‑solving abilities with attention to detail.

Responsibilities

• Process standard and complex rating requests following SOPs.
• Research and resolve atypical data scenarios requiring judgment.
• Create and maintain entities, transactions, securities, ratings, identifiers and reference data.
• Analyze internal docs and external sources to determine data updates.
• Perform data corrections and ad‑hoc updates while preserving quality.
• Support data quality initiatives and process improvements.
• Assist automation efforts and document new procedures in Confluence.
• Investigate data discrepancies with analytical teams and stakeholders.

Skills

SQL

Python

Excel

Jira

AI tools

Education

Bachelor's degree

Tools

ChatGPT

GitHub Copilot

Microsoft Copilot

Jira

Job description

KBRA is seeking a mid-level Data Steward for Data Operations in New York. You will manage entities, transactions, securities, ratings, and reference data across the rating lifecycle, ensuring accuracy and timeliness.

The role emphasizes data quality, SOP adherence, and collaboration with analytics, compliance, and technology teams. Responsibilities include processing complex requests, researching data discrepancies, and contributing to automation and process improvements.