Key Responsibilities Research, develop, and improve quantitative and algorithmic trading strategies for Indian financial markets. Work on High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) strategies.

Develop and backtest trading ideas using Python and/or C++. Work with Futures & Options (F&O;), including index and stock options. Analyse market data, order-book behaviour, price movements, and trading opportunities.

Assist in the development and optimisation of intraday and short-term trading strategies. Monitor live strategies and analyse their performance. Work closely with senior traders, developers, and researchers to improve strategy execution and performance.

Conduct research using historical and live market data. Explore and utilise AI-assisted tools for research, coding, data analysis, and strategy development. Contribute to improving backtesting, research, and trading workflows.

Required Skills &

Experience 2–5 years of experience in Quantitative Trading, Algorithmic Trading,



or HFT/MFT strategy development. Prior experience in a proprietary trading, HFT, quant trading, or algorithmic trading environment is preferred. Strong understanding of Indian financial markets, particularly NSE/BSE and Futures & Options.

Experience developing or researching systematic trading strategies. Good knowledge of Python; exposure to C++ will be an advantage. Robust analytical and quantitative skills. Understanding of market microstructure, order books, market data, and trade execution is preferred.

Experience with backtesting and analysing strategy performance. Knowledge of options and derivatives will be highly preferred. Familiarity with AI/LLM tools such as ChatGPT, Claude, GitHub Copilot, Cursor, or similar tools is a plus.

Required Skills ['Python', 'C/C++']

Additional Information

Use public JD while sourcing.

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