Quantitative Researcher - High-Frequency & Crypto Markets

Key Responsibilities • Research and implement high-frequency trading strategies, leveraging deep knowledge of market microstructure • Analyze large-scale market data to uncover inefficiencies and design robust, data-driven models • Build and maintain simulation and backtesting tools aligned with real-world trading conditions • Write and optimize production-grade code for signal generation, execution logic, and infrastructure components • Collaborate across disciplines to ensure seamless integration of research and engineering efforts • Monitor strategy performance, adapt models to changing market conditions, and manage risk Requirements • Strong experience in high-frequency trading or systematic strategies within crypto or traditional markets • Advanced programming skills in Python , along with proficiency in at least one compiled language (Rust preferred , C++ or Go also welcome) • Deep understanding of market microstructure and the technical nuances of low-latency trading • Background in a quantitative discipline such as mathematics, statistics, physics, computer science, or engineering (MSc or PhD preferred) • Practical experience working with large datasets, real-time data pipelines, and cloud-based research environments • Familiarity with version control systems (Git), Linux/Unix environments, and containerization tools such as Docker • Strong problem-solving ability, high attention to detail, and a mindset geared toward continuous improvement Location This role is based in London . We believe in the power of close collaboration, and candidates should either be located in London or willing to relocate. Support for relocation is available.