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
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