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Sr Python Developer at Falcon Smart IT (FalconSmartIT) – London | Jobyssey

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Sr Python Developer

Sr Python Developer

Falcon Smart IT (FalconSmartIT) · London, United Kingdom · 2 months ago

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Seniority: Senior
Category: Software engineering
Experience: 10+ years

api automation bash ci-cd django fastapi flask linux numpy pandas pyspark python rest

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Build Python backend services and data pipelines for trading and risk systems in investment banking, using libraries like Pandas and FastAPI.

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 (6?10 years)
Strong SQL skills with ability to handle complex queries and large datasets
Experience with Python libraries (Pandas, NumPy) 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