BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms.
Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both HFT and MFT approaches.
We’ve got a team of 200+ professionals, with a strong emphasis on technology. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization.

We are building a proprietary HFT trading team focused on Indian markets. Our infrastructure provides direct NSE connectivity with low-latency market data and execution. Backtesting runs on high-quality historical NSE data.

We are looking for an experienced HFT Trader who is comfortable operating in a growing environment and wants to contribute to strategy development while working closely with the engineering team.

What You'll Do

• Develop, backtest, and deploy HFT strategies on NSE Options (primary focus), with a roadmap to expand into additional NSE instruments
• Collaborate with the engineering team on execution quality, latency optimization, and order routing
• Participate in platform calibration and performance improvements as strategies scale
• Build a strategy library that can grow with the platform

• Hands-on experience developing and deploying strategies in the microsecond-to-millisecond range
• Strong understanding of NSE market microstructure – options pricing, order book dynamics, flow toxicity
• Solid grasp of execution best practices: order types, queue positioning, adverse selection management
• Strong programming skills in C++ or Rust are required. You will be expected to independently implement, maintain, and optimize production trading strategies and execution logic
• Comfortable independently developing production trading robots on top of an existing trading platform
• Clear thinking on pre-trade risk: position limits, order rate limits, kill-switch requirements – and the latency cost you're willing to pay for them
• Rigorous approach to backtest validation: you know the first things to check before trusting a result, and you understand the impact of market data timestamp accuracy on strategy performance
• Proactive, communicates openly, thrives in a collaborative environment

All your information will be kept confidential according to EEO guidelines.