Quantitative Trader

We are seeking a Quantitative Trader to help us develop and execute strategies that thrive in digital asset markets. The ideal candidate has a strong quantitative background, curiosity for financial markets, and the ability to work collaboratively in a fast-paced, data-driven environment.

Responsibilities:

• Research, design, and implement high-frequency trading strategies for digital asset markets.


• Develop statistical models and algorithms to identify patterns and opportunities in market data.


• Collaborate with engineers to design efficient, low-latency trading systems.


• Monitor and manage trading systems, identifying and addressing issues in real time.


• Analyze trading performance and market dynamics to expand and refine strategies.

• Strong programming skills in both high level (Python) and low level (Rust/C++) languages.


• Deep understanding of probability, statistics, and time-series analysis.


• Proven experience working with large datasets and applying quantitative models.


• Knowledge of financial markets and trading concepts (market microstructure, liquidity, slippage).


• Knowledge of machine learning techniques or advanced optimization methods.

• Prior experience in algorithmic or high-frequency trading.


• Understanding of crypto markets and decentralized finance.


• Familiarity with Unix/Linux systems.

• Competitive salary.


• World-class health insurance (applicable for UAE hires).


• Access to cutting-edge technology and tools to shape the future of trading.


• In-depth knowledge of trading systems and market mechanics.


• Opportunity to relocate to Dubai.