Algorithmic Trader Quantitative Trader

InfiniteQuant; Dubai; On-site; AED 350,000 - 700,000; Full time

Job summary

InfiniteQuant in Dubai seeks an experienced researcher/quant trader to design and deploy algorithmic trading strategies for digital assets, forex or commodities markets. You take full responsibility for the strategy lifecycle from idea generation and research to simulation and live production.

You will iterate on strategy behavior in live markets and build a deep understanding of market microstructure through hands‑on production trading.

Qualifications

• Master's 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

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

Skills

C / Python experience

High-frequency trading

Market microstructure understanding

Ownership mindset

Education

Master's or PhD in STEM

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

Qualifications :

• Master or Ph.D. degreein 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

Remote Work :

No

Employment Type :

Full-time