Senior Data Engineer/Scientist - Python, Pandas, Numpy, Banking in London - Harvey Nash

Senior Data Engineer / Data Scientist sought by leading investment bank based in the city of London.

**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
Alex Reeder
Harvey Nash Finance & Banking

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