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

Role: Data Science & Analytics - Other, Industry Type: Analytics / KPO / Research, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Graduation Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Python Bank Banking SQL

Python Developer

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