Sr Python Developer Trading / Risk Platforms Position: Full-Time
Location: New York City, NY / Jersey City, NJ
Work Authorization: U.S. Citizens / Permanent Residents only Visa candidates will not be considered
Overview
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:
o Market Risk / CCR / PnL / Trade lifecycle / Reconciliation
Understanding of financial products such as:
o 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
Experience
~7 12 years of experience
Note: Candidates without capital markets / risk / trading domain experience will not be considered
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