Python Developer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
A leading financial services organization in the banking sector, serving a broad range of institutional and retail clients across global markets. The company is known for its data-driven culture, scale of operations and commitment to technology-led innovation in trading, risk and analytics.
About the role.
We are looking for an experienced Python Developer to build and enhance applications and data pipelines that support trading, risk and reconciliation workflows. You will work closely with quants, traders and risk teams to turn business requirements into scalable technical solutions. The role offers ownership of production systems and the opportunity to influence system design and architecture.
What you will do.
- 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
- Develop and integrate REST APIs and backend services
- Contribute to system design, architecture and scalability decisions
- 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 to ensure high code quality and test coverage
- Participate in code reviews and mentor junior developers where required
What you bring.
- 4 to 10 years of experience, with strong core Python development expertise
- Strong SQL skills with the ability to handle complex queries and large datasets
- Experience with Python libraries such as Pandas and NumPy for data processing
- Experience building RESTful APIs/services using Flask, FastAPI or Django
- Strong understanding of data structures and performance optimization
- Experience with large-scale data processing and performance optimization
- Working knowledge of Unix/Linux environments and basic shell scripting
- Good-to-have: exposure to PySpark, quant or pricing models, and Unix/Bash scripting
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