Algorithmic Trader / Quantitative Trader

Role

- Research, design, and deploy new algorithmic trading strategies for digital assets, forex, or commodities markets - Take full responsibility for the strategy lifecycle, from idea generation and research to simulation and live production - Iterate on strategy behavior and performance in live markets - Build a deep understanding of market microstructure through hands-on production trading

Program Structure

- Designed for experienced traders with an existing strategy or experienced researchers who have not yet scaled a fully independent strategy - Provides a structured path toward independent strategy ownership and progression to Trading Pod Lead - Includes training, technical review, and ongoing advisory support from senior traders and system owners

We Provide

- In-house data, simulation, and low-latency trading platforms - Proprietary trading infrastructure and internal capital - Direct market access to global exchanges with institutional connectivity - Training, mentorship, and advisory support from senior traders

Location

- Dubai - United Arab Emirates - New York City - United States

- Master or Ph.D. degree in STEM (Science, Technology, Engineering, and Mathematics) - Prior work experience in high frequency trading firms or hedge funds - Prior experience developing or operating fully automated quantitative trading strategies - C++ / Python experience - Solid understanding of market microstructure and execution - High-ownership, self-directed, systems-oriented mindset