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Sr Python Developer
Job in
London, Laurel County, Kentucky, 40741, USA
Listed on 2026-05-09
Listing for:
Falcon Smart IT Limited
Full Time
position Listed on 2026-05-09
Job specializations:
-
Software Development
Python, Data Engineer
Job Description & How to Apply Below
Sr Python Developer
Job Location:
London, UK /Hybrid Job type: 6 Months
Job Description:
We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.
Key Responsibilities Develop and enhance Python-based applications for trading and risk use cases
Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows
Work with large financial datasets to support PnL, risk and reporting requirements
Contribute to system design, architecture and scalability decisions
Collaborate with quants, traders and risk teams to translate business requirements into technical solutions
Develop and integrate REST APIs and backend services
Contribute to CI/CD pipelines and deployment processes
Support production systems (L2/L3) including debugging, enhancements and performance optimization
Write and maintain unit and integration tests. Ensure high code quality and test coverage
Participate in code reviews and mentor junior developers where required
Must-Have Skills Strong experience in Core Python development (610 years)
Strong SQL skills with ability to handle complex queries and large datasets
Experience with Python libraries (Pandas, Num Py) for data processing
Experience building RESTful APIs/services (Flask / FastAPI / Django)
Strong understanding of data structures and performance optimization
Experience working with large-scale data processing and performance optimization
Working knowledge of Unix / Linux environments and basic shell scripting
Domain Experience (Critical)
Experience working in Investment Banking / Capital Markets environments
Hands-on exposure to:
Market Risk / CCR / PnL / Trade lifecycle / Reconciliation Understanding of financial products such as:
Derivatives (swaps, futures, options), bonds
Good-to-Have Exposure to PySpark or large-scale data processing
Experience working with quants or pricing models
Basic scripting (Unix / Bash)
Regards,A
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