Quantitative Trader

Responsibilities

• 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

Requirements

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

Benefits

• Access to in-house data, simulation, and low-latency trading platforms
• Use of proprietary trading infrastructure and internal capital
• Direct market access to global exchanges with institutional connectivity
• Structured path toward independent strategy ownership and progression to Trading Pod Lead
• Training, mentorship, and advisory support from senior traders and system owners

About the Company

InfiniteQuant is a global quantitative trading and technology company. As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets. Everything from data to strategy, simulation, and trading systems is developed in-house.