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About the Role

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Key Responsibilities

  • Develop, maintain, and optimize quantitative research and trading platforms in Python.
  • Build and enhance backtesting frameworks for evaluating trading strategies.
  • Work with researchers to translate mathematical models into production-ready code.
  • Integrate real-time market data feeds and APIs for live trading execution.
  • Ensure systems are scalable, low-latency, and fault-tolerant.
  • Conduct performance tuning, debugging, and testing to maintain system reliability.
  • Collaborate with cross-functional teams including research, trading, and infrastructure.


Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or related field.
  • 2–4 years of professional experience as a Quant Developer, Software Engineer, or similar role.
  • Strong proficiency in Python
  • Solid understanding of data structures, algorithms, and software design principles.
  • Experience with SQL and working with large datasets.
  • Familiarity with financial markets, trading systems, and market data.
  • Knowledge of backtesting frameworks and time-series analysis.

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