About this role
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.
Requirements: - 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.
Not a requirement, but a plus: - Prior experience in algorithmic or high-frequency trading. - Understanding of crypto markets and decentralized finance. - Familiarity with Unix/Linux systems.
Perks and Benefits: - 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.
Please note that we will test your quantitative and programming skills in-person.