remote
Senior Data Management Professional - Financial Engineering - Securitized Products - Bloomberg
Software Engineer
Lead data architecture and workflow optimization for a $12 trillion securitized products market, leveraging Python, SQL, and advanced data modeling to deliver high‑quality analytics and insights.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes for securitized product datasets.
- Collaborate with product, analytics, and engineering teams to define data requirements and ensure data quality across the data lifecycle.
- Implement data modeling solutions that support complex financial engineering calculations and reporting.
- Optimize database performance and query efficiency for large volumes of structured and semi‑structured data.
- Drive continuous improvement of data governance, documentation, and metadata management practices.
Requirements
- 5+ years of experience in data engineering or data management within financial services.
- Proficiency in Python, SQL, and relational database design.
- Strong understanding of securitized products, structured finance, and financial engineering concepts.
- Experience with ETL tools, data warehousing, and performance tuning.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.