Software Engineer

Position: Python/Quant Engineer Key Responsibilities: • Design, develop, and maintain scalable Python-based quantitative tools and libraries. • Collaborate with quants and researchers to implement and optimize pricing, risk, and trading models. • Process and analyse large datasets (market, fundamental, alternative data) to support research and live trading. • Must possess experience in developing and deploying applications within an enterprise environment that follows a well-established software development lifecycle (SDLC). • MySQL experience is mandatory for this position • Build and enhance backtesting frameworks and data pipelines. • Integrate models with execution systems and trading platforms. • Optimize code for performance and reliability in low-latency environments. • Participate in code reviews, testing, and documentation efforts. Required Qualifications: • 3.5+ years of professional experience in quantitative development or similar roles. • Proficiency in Python, including libraries like NumPy, Pandas, SciPy, Scikit-learn, and experience in object-oriented programming. • Strong understanding of data structures, algorithms, and software engineering best practices. • Experience working with large datasets, data ingestion, and real-time processing. • Exposure to financial instruments (equities, futures, options, FX, fixed income, etc.) and financial mathematics. • Familiarity with back testing, simulation, and strategy evaluation tools. • Experience with Git, Docker, CI/CD, and modern development workflows.