Senior Data Engineer/Scientist - Python, Pandas, Numpy, Banking
New Yesterday
**Inside IR35 - 4 days a week on site**
Overview
Data Engineer/Data Scientist role supporting Front Office operations with expertise in data engineering, and stakeholder management in investment banking environment.
Key Responsibilities Build data pipelines for real-time and batch processing of financial data Partner with traders, portfolio managers, and risk teams to deliver analytics solutions Ensure compliance with regulatory reporting requirements Optimize data models for front office metrics and P&L reporting Troubleshoot data quality issues in time-sensitive trading environments Design and maintain Power BI dashboards for trading, risk, and regulatory reporting Required Skills Data engineering experience building production pipelines Python, SQL, and Spark proficiency. Pandas/Numpy / Data Science Skillset Experience with investment banking data (trades, positions, market data, reference data) BI development with strong Power BI (DAX, Power Query, data modeling) Understanding of regulatory reporting processes Proven ability to work directly with demanding front office stakeholders Experience with real-time data feeds and low-latency requirements Preferred Skills Capital markets knowledge (equities, fixed income, derivatives) Experience with financial data vendors (Bloomberg, Reuters, MarkIt) Cloud platforms (Azure preferred) and orchestration tools Understanding of risk metrics and P&L calculations Please apply within for further details or call on 07393149627 Alex Reeder Harvey Nash Finance & Banking
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- Location:
- United Kingdom
- Job Type:
- FullTime
- Category:
- Science;IT;IT