Related skills
etl sql python tableau power bi📋 Description
- Design, build, and maintain data pipelines for ABS transactions monitoring.
- Integrate cashflow and exposure data from FactSet, Intex, and risk systems.
- Develop ETL processes and APIs linking Python models, Intex data, and reporting tools.
- Automate KPIs, valuations, and risk indicators across sources.
- Build dashboards and tools in Power BI/Tableau for monitoring and reporting.
- Partner with PM team to deliver data-driven insights on exposures, performance, risk.
🎯 Requirements
- 6+ years in data engineering/BI, ideally financial services.
- SQL and Python for data engineering, ETL, automation.
- Experience building data pipelines across systems and APIs.
- Familiar with structured credit/ABS datasets (loan tapes, etc.).
- Experience with FactSet, Intex, Bloomberg, and Excel.
- Power BI and Tableau for data visualization.
🎁 Benefits
- Shape the data infra for a growing High Grade ABS platform.
- Exposure to structured finance and asset-backed investments.
- Hands-on role with PMs and investment professionals.
- Collaborative, international team with career development.
- Competitive compensation and benefits.
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