Senior Data Engineer/Scientist - Python, Pandas, Numpy, Banking

Senior Data Engineer/Scientist - Python, Pandas, Numpy, Banking

Posted 1 day ago by 1768002645

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£765 Per day
Inside
Onsite
London
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Apache Spark Banking Batch Processing Data Engineering Datamodel Data Modeling Data Quality Data Science Derivatives Finance Financial Data Fixed Income Front Office Income / Revenue Income Statement Investment Banking Investments Management Market Data Microsoft Azure Power BI Powerquery Python (Programming Language) Risk Metrics SQL (Programming Language) Stakeholder Management

Summary: Senior Data Engineer/Data Scientist position at a leading investment bank in London, focusing on supporting Front Office operations through data engineering and stakeholder management. The role requires building data pipelines, ensuring compliance with regulatory requirements, and optimizing data models for reporting. Candidates must have experience in investment banking data and proficiency in Python, SQL, and Spark. The position is inside IR35 and requires on-site work four days a week.

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

Key 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

Salary (Rate): £765 per day

City: London

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

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 07393149627
Alex Reeder
Harvey Nash Finance & Banking

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