Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, metro location, and mid-level generalist data role increase candidate competition.
Role requires structured finance domain expertise and MDM, making candidates from other industries less transferable.
Explicit 2–5 year requirement plus structured-finance domain expertise, advanced SQL and MDM raise screening strictness.
Own end-to-end lifecycle management and governance of structured finance datasets, including acquisition, validation, transformation, and quality monitoring.
Coordinate vendor operations by managing submissions, defining requirements, setting acceptance criteria, and approving deliverables.
Lead data cleansing, enrichment, and process optimization initiatives to improve data accuracy and operational efficiency.
2 to 5 years of experience in data management, data quality, data governance, or related analytical functions.
Strong knowledge of structured finance products: RMBS, ABS, CMBS, CLOs.
Advanced SQL skills for large dataset analysis, transformation, and management.
Bachelor's degree in Business, Finance, Economics, Data Management, Information Systems, Computer Science, or related field.
Experience with Structured Finance data management in a global financial or analytics environment.
Proficient in cross-functional collaboration with data operations, technology, and product teams to drive data quality and governance.
Comfortable with or has exposure to scripting/automation tools (Python, VBA) and understands project management and software development lifecycle methodologies.