Algorithmic Trader / Quantitative Trader

Infinite quant; United Arab Emirates; On-site; AED 600,000 - 1,200,000; Full time

Benefits offered by this job

In-house data simulation

Low-latency platforms

Proprietary trading infra

Direct market access

Mentorship & advisory

Job summary

Infinite quant in the United Arab Emirates seeks a seasoned researcher or trader to 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.

You will iterate on strategy behavior in live markets and build a deep understanding of market microstructure through hands-on production trading while collaborating with senior traders and

Qualifications

• Master or Ph.D. in STEM
• Experience in high frequency trading firms or hedge funds
• 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

Education

Master's or Ph.D. in STEM

Tools

Low-latency platforms

Proprietary trading infra

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

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

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. 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