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
Job Description
Role
Responsibilities
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Research, design, and deploy new algorithmic trading strategies for digital assets, forex, or commodities markets
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Take full responsibility for the strategy lifecycle, from idea generation and research to simulation and live production
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Iterate on strategy behavior and performance in live markets
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Build a deep understanding of market microstructure through hands-on production trading
Program Structure
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Designed for experienced traders with an existing strategy or experienced researchers who have not yet scaled a fully independent strategy
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Provides a structured path toward independent strategy ownership and progression to Trading Pod Lead
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Includes training, technical review, and ongoing advisory support from senior traders and system owners
We Provide
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In-house data, simulation, and low-latency trading platforms
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Proprietary trading infrastructure and internal capital
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Direct market access to global exchanges with institutional connectivity
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Training, mentorship, and advisory support from senior traders
Location
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Dubai - United Arab Emirates
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New York City - United States
Qualifications
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Master or Ph.D. degree in STEM (Science, Technology, Engineering, and Mathematics)
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Prior work experience in high frequency trading firms or hedge funds
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Prior experience developing or operating fully automated quantitative trading strategies
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C++ / Python experience
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Solid understanding of market microstructure and execution