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Algorithmic Trader / Quantitative Trader @ InfiniteQuant

AEOnsiteFull-timeJob reference REF39J
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About this role

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 EmiratesNew York City - United States 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

Skills

ResearchMid-Senior LevelCapital Markets

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