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

New Yesterday

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

To
From
Record Yes No

Always use these settings

TPBN1_UKTJ
Apply
Location:
London
Salary:
£700 - £765 per day
Job Type:
FullTime
Category:
Science;IT;IT

We found some similar jobs based on your search