Execution Quant

BHFT

Dubai, Dubai, United Arab Emirates Remote permanent

Posted: May 6, 2026

Quick Summary

We are seeking a talented data engineer to join our team in Dubai, UAE, to develop and maintain our trading systems. The ideal candidate will have a strong background in software development, experience with algorithmic trading, and excellent communication skills. The successful candidate will be responsible for coding strategies and algorithms from scratch to production-ready software.

Job Description

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're building a centralized quant research team and need an execution quant to own execution quality end-to-end. This is a ground-floor opportunity, you'll establish reporting infrastructure, develop signals that cut trading costs

• Analyze execution reports to identify poor trades and execution quality issues
• Build signals to improve execution performance, covering 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
• Continuously review execution data to uncover areas of improvement
• Collaborate with trading teams and data engineering to improve infrastructure and execution controls
• Pre- and post-trade transaction cost analysis (TCA) to benchmark execution performance and identify cost reduction opportunities.

• Strong command of execution signals and low-latency order book analysis
• Proven experience building execution models
• Background in prop trading ideally in equities or currencies (trading side, not risk) futures also considered
• Proficiency in Python and at least one low-level language (Rust, C++, or Java)
• Degree in physics, math, statistics, econometrics, or computer science
• Experience at growth-stage firms
• Builder mentality: comfortable establishing infrastructure 
• Willing to work remotely with East Coast US–Singapore time zone alignment

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

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