Algorithmic Trader / Quantitative Trader

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

Qualifications

• 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