Algorithmic Trader / Quantitative Trader

Company Description

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

- 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