HFT Trader - Indian Options (Proprietary Trading Firm | Remote)
Overview
We are working with a leading proprietary trading firm that is seeking to hire an experienced HFT Trader to join a growing team focused on NSE Options trading.
The firm operates systematic strategies across multiple asset classes and is investing heavily in its next generation of high-frequency trading infrastructure. This role provides the opportunity to work at the forefront of Indian options markets while collaborating directly with trading, research, and engineering teams.
Responsibilities
- Research, develop, and deploy high-frequency trading strategies across NSE Options
- Contribute to the development and calibration of the firm's HFT trading platform
- Partner with engineering teams to improve execution quality, market data handling, and latency
- Optimise strategy performance through continuous monitoring and refinement
- Build scalable frameworks and strategy libraries that can support expansion into additional products and markets
- Apply market microstructure insights to enhance execution and trading outcomes
Requirements
- Demonstrated experience developing and deploying HFT strategies within second-to-millisecond time horizons
- Deep understanding of Indian options markets and NSE market microstructure
- Strong knowledge of options pricing, order book dynamics, liquidity behaviour, and flow toxicity
- Experience with execution optimisation, including queue positioning and adverse selection analysis
- Strong risk management and position management capabilities
- Programming ability in Python, C++, Rust, or similar languages
- Strong communication skills and ability to work closely with researchers and engineers
Why Apply?
- Join a growing HFT initiative with strong internal backing
- Direct influence over both strategy development and platform evolution
- Exposure to cutting-edge low-latency trading infrastructure
- Opportunity to work closely with engineering on execution and performance improvements
- Remote working flexibility within a global systematic trading environment If you are interested in learning more, please apply directly or contact:
Jonathan Ekoh
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