Algorithmic Trader / Quantitative Trader

InfiniteQuant is a global quantitative trading and technology company.  As a privately owned proprietary trading firm, we research, develop, and deploy high-frequency quantitative trading strategies across global financial markets. Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house. Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development. Website: www.infquant.com LinkedIn: linkedin.com/company/infinitequant 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