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.

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

• 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