Python Developer Trading / Risk Platforms

• 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

• 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
• Basic scripting (Unix / Bash)
• Prior experience in global banking environments