Senior 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.
Our client is a leading global financial services organization with a strong footprint in investment banking and capital markets. They are known for their commitment to technological innovation and maintaining robust, scalable systems that support complex global financial operations.
About the role.
We are seeking a highly skilled Senior Python Developer to join a dynamic team focused on building and maintaining sophisticated trading and risk management systems. You will play a critical role in developing backend applications, optimizing data processing pipelines, and collaborating with quantitative and risk teams to deliver high-performance financial solutions.
What you will do.
- Develop and enhance Python-based applications tailored for trading and risk management use cases.
- Build and maintain efficient data processing pipelines and automation scripts for trade, risk, and reconciliation workflows.
- Manage and analyze large financial datasets to support PnL, risk, and regulatory reporting requirements.
- Contribute to system architecture, design decisions, and overall platform scalability.
- Collaborate with quants, traders, and risk stakeholders to translate complex business requirements into technical solutions.
- Design, develop, and integrate robust RESTful APIs and backend services.
- Support production systems through L2/L3 debugging, performance optimization, and continuous improvement.
- Ensure high code quality through rigorous unit testing, integration testing, and active participation in code reviews.
What you bring.
- 6–11 years of professional experience in Core Python development.
- Strong proficiency in SQL with the ability to handle complex queries and large-scale datasets.
- Hands-on experience with data processing libraries including Pandas and NumPy.
- Proven track record of building RESTful APIs using Flask, FastAPI, or Django.
- Deep understanding of data structures, algorithms, and performance optimization techniques.
- Solid experience in Investment Banking or Capital Markets, specifically with Market Risk, CCR, PnL, or trade lifecycles.
- Working knowledge of Unix/Linux environments and Bash scripting.
- Experience with PySpark and exposure to pricing models is highly desirable.
- Prior experience working within global banking environments.
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