Tasks:
- * Acquire and manage structured finance data
- * Coordinate vendor submissions and deliverables
- * Establish data governance standards and controls
- * Evaluate data management technologies
- * Lead data cleansing and enrichment initiatives
- * Monitor data quality and resolve discrepancies
- * Optimize data management processes
- * Partner with operations and development teams on requirements
- * Support Master Data Management initiatives
- * Validate, transform, and maintain datasets
Perks/Benefits:
Skills/Tech stack required:
[Asset-backed securities] [Cause analysis] [Collateralized Debt] [Collateralized Debt Obligations] [Collateralized Loan Obligations] [Commercial mortgage] [Commercial Mortgage Backed Securities] [Data acquisition] [Data Cleansing] [Data Enrichment] [Data Governance] [Data Management] [Data Quality] [Data Quality Management] [Data Transformation] [Data Validation] [Development Lifecycle] [Master Data] [Master Data Management] [Mortgage-Backed Securities] [Process Improvement] [Project Management] [Python] [Quality management] [Residential mortgage] [Residential Mortgage Backed Securities] [Root cause] [Root Cause Analysis] [Software development] [Software Development Lifecycle] [SQL] [Structured finance] [VBA]
Educational requirements:
[Bachelor's Degree] [MBA]
Role(s):
[Analyst] [Data Analyst] [Data Governance] [Data Governance Analyst] [Data Management] [Data Management Analyst] [Governance Analyst] [Management Analyst]