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 committed to technological innovation and excellence, providing robust solutions for complex financial workflows and risk management on a global scale.
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 trading teams to deliver high-performance technical solutions.
What you will do.
- Develop and enhance Python-based applications for trading and risk management use cases.
- Build and maintain efficient data processing pipelines and automation scripts for trade, risk, and reconciliation workflows.
- Process large financial datasets to support PnL, risk analysis, and regulatory reporting requirements.
- Contribute to system architecture, design decisions, and overall platform scalability.
- Collaborate with quants, traders, and risk teams to translate complex business requirements into technical solutions.
- Develop and integrate RESTful APIs and backend services.
- Support production systems through debugging, performance optimization, and L2/L3 maintenance.
- Write and maintain high-quality unit and integration tests to ensure robust code coverage.
- Participate in code reviews and provide mentorship to junior team members.
What you bring.
- 5–11 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 experience building RESTful APIs using frameworks such as Flask, FastAPI, or Django.
- Deep understanding of data structures, algorithms, and performance optimization techniques.
- Solid experience in Investment Banking or Capital Markets environments.
- Working knowledge of Unix/Linux environments and Bash scripting.
- Familiarity with financial products such as derivatives, swaps, futures, options, and bonds.
- Experience with PySpark and large-scale data processing is highly desirable.
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