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 firm specializing in research, analytics, and risk management solutions. They operate at a significant scale, providing critical insights and technology-driven services to the world's top investment banks and financial institutions. The company fosters a collaborative, high-performance culture that values technical excellence and innovation in the capital markets space.
About the role.
This role involves designing and developing robust backend applications and data processing logic to support complex trading and risk management workflows. You will work closely with quantitative analysts and risk teams to build scalable solutions that handle large-scale financial datasets. This is a hybrid position based in Mumbai / Pune / Chennai / Bengaluru / Gurugram, focused on enhancing the firm's core financial technology infrastructure.
What you will do.
- Develop and enhance Python-based applications for trading and risk management use cases.
- Build efficient data processing pipelines and automation scripts for trade, risk, and reconciliation workflows.
- Manage and process large financial datasets to support PnL, risk, and reporting requirements.
- Contribute to system design, architecture, and scalability decisions for backend services.
- 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.
- Provide L2/L3 production support, including debugging, performance optimization, and system enhancements.
- Write and maintain comprehensive unit and integration tests to ensure high code quality.
What you bring.
- 6–10 years of experience in Core Python development.
- Strong SQL skills with the ability to handle complex queries and large datasets.
- Proficiency with Python data processing libraries such as Pandas and NumPy.
- Experience building RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Deep understanding of data structures and performance optimization techniques.
- Proven experience in Investment Banking or Capital Markets environments.
- Hands-on exposure to Market Risk, CCR, PnL, trade lifecycles, or reconciliation.
- Knowledge of financial products including derivatives and bonds.
- Working knowledge of Unix/Linux environments and shell scripting.
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