We are seeking a talented Quantitative Researcher to develop machine learning-based models for systematic trading in digital asset and financial markets. This is a front-office research role based in the UK, offering hands-on experience with high-frequency market data, advanced ML architectures, and collaboration with a team of quantitative researchers and engineers.
Responsibilities
*Develop ML-based alpha generation models using high-frequency order book and market microstructure data
*Design and maintain robust data pipelines, preprocessing, and feature extraction workflows for streaming tick data
*Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction
*Collaborate with quantitative researchers and engineers to integrate models into live trading systems
*Optimise inference latency and ensure model robustness under live market conditions
*Continuously refine model performance through systematic backtesting, live evaluation, and monitoring
Requirements
*Degree in Computer Science, Machine Learning, Applied Mathematics, or a related quantitative discipline
*Strong programming skills in Python and familiarity with standard ML libraries
*Proven experience applying ML/DL techniques to real-world problems
*Familiarity with time-series modelling, signal extraction, or high-frequency data
*Experience developing ML infrastructure, including data pipelines, experiment tracking, and version control
*Collaborative mindset and problem-solving orientation
Preferred Experience
*Exposure to finance, trading, or quantitative research (helpful but not required)
*Publications, competition results (e.g., Kaggle, academic ML contests), or open-source contributions
*Familiarity with C++, CUDA, or other low-latency systems
Why Join
*Work at the forefront of systematic trading and digital asset markets in the UK
*Hands-on exposure to large-scale, high-frequency data and cutting-edge ML techniques
*Collaborative, meritocratic team environment with direct impact on strategy and performance
*Fast-paced, technology-driven culture offering meaningful ownership and growth
*Competitive UK-based compensation aligned with experience and performance