Execution Quant

Responsibilities

• Own execution quality end-to-end by analyzing execution reports to identify issues
• Build signals to improve execution performance, including order-specific metrics and toxicity analysis
• Establish execution reporting infrastructure from the ground up
• Perform low-latency order book analysis to optimize execution across global markets
• Conduct pre- and post-trade transaction cost analysis (TCA) to benchmark performance
• Collaborate with trading teams and data engineering to improve infrastructure and execution controls

Requirements

• Strong command of execution signals and low-latency order book analysis
• Proven experience building execution models
• Background in proprietary trading, ideally in equities, currencies, or futures
• Proficiency in Python and at least one low-level language (Rust, C++, or Java)
• Degree in physics, math, statistics, econometrics, or computer science
• Builder mentality with experience establishing infrastructure in growth-stage firms
• Ability to work remotely with alignment across East Coast US–Singapore time zones

About the Company

BHFT is a proprietary algorithmic trading firm that manages the full trading cycle, from software development to coding strategies and algorithms. We trade a broad range of asset classes, including equities, derivatives, options, and futures, utilizing both HFT and MFT approaches. Our team of over 200 professionals operates as a 100% remote organization globally.