Experience Required: Minimum 5 to 10 years (proprietary / institutional / HFT / quant trading)
Position: Head Trader - Proprietary / High-Frequency Trading Desk
Location: Mumbai, Maharashtra, India
Experience: Minimum 5 to 10 years in proprietary, institutional, or high-frequency trading
Compensation: Performance Based
About the Firm A Mumbai-based proprietary trading firm, backed by a reputed family business group from Gujarat, with existing interests in real estate, hospitality, and financial services. The firm is in its expansion phase and is building a cutting-edge trading desk focused on quantitative and high-frequency strategies across Indian equity and derivative markets. Our mission is to combine research-driven execution, technology-led infrastructure, and institutional-grade risk management to generate consistent alpha and long-term capital growth.
Key Responsibilities
- Lead and manage the high-frequency trading desk, driving performance, technology, and strategy development.
- Design, implement, and optimize algorithmic and low-latency execution systems.
- Supervise multiple traders and quants, overseeing capital allocation, margin usage, and real-time risk controls.
- Monitor and enhance latency performance, order routing, and exchange connectivity (NSE/BSE co-location environments).
- Ensure compliance with SEBI regulations, sub-broker licensing, and firm-level governance.
- Evaluate and refine strategies based on market microstructure, volatility, and tick-level data analytics.
- Oversee risk metrics such as VaR, Sharpe ratio, and drawdown, ensuring discipline and accountability.
- Collaborate with research, development, and infrastructure teams to integrate data feeds, APIs, and execution engines.
- Drive the P&L and strategic roadmap of the trading desk, aligning growth targets with firm objectives.
Ideal Candidate Profile
- Minimum 5 to 10 years of proven experience in high-frequency or algorithmic proprietary trading.
- Deep understanding of exchange connectivity, order management systems, and co-located infrastructure.
- Proficiency in Greek Algo, pair/ratio trading, and execution algorithms (VWAP, TWAP, POV, etc.).
- Strong command of risk management frameworks - margin allocation, exposure limits, capital efficiency, and performance metrics.
- Familiarity with Python, C++, or R for data-driven analytics and strategy testing preferred.
- Excellent leadership, analytical, and business acumen, with the ability to build and mentor a multi-strategy team.
- Based in Mumbai.
Why Join Us
- Opportunity to lead and shape a next-generation high-frequency proprietary trading platform.
- Backed by institutional capital and a reputed business conglomerate.
- Performance-based rewards with potential for partnership or equity participation.
- Exposure to advanced trading infrastructure, automation, and quantitative research.