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Key Responsibilities :

- Develop and maintain Python applications for financial data processing, modelling, and reporting.
- Design scalable microservices and APIs for integration with trading platforms, market data providers, and internal systems.
- Collaborate with finance and risk teams to automate workflows and enhance data accuracy and timeliness.
- Optimize performance of real-time and batch data pipelines handling large datasets.
- Ensure systems meet regulatory and compliance requirements (e.g., MiFID II, Basel III, SOX).
- Lead code reviews, mentor junior developers, and promote best practices in secure and maintainable coding.
- Work with DevOps to deploy solutions in cloud or hybrid environments (AWS, Azure, GCP).

Required Qualifications :

Must-have :

- 5+ years of Python development experience in enterprise or financial environments.




- Solid understanding of financial instruments (equities, derivatives, fixed income) and market data.
- Experience with financial libraries (e.g., NumPy, Pydantic, PyTorch, Pandas, PySpark, QuantLib).
- Familiarity with trading systems, risk engines, or portfolio management platforms.
- Proficiency in cloud technologies, containerization (Docker/Kubernetes), and CI/CD pipelines.
- Excellent analytical, communication, and stakeholder management skills.

Nice-to-have :

- Experience in the UK financial sector or financial sector in general.
- Knowing their strict compliance, risk, and security rules gives you a major edge.

📌 Senior Python Engineer - Trading Platform (India)
🏢 DataQuad
📍 India