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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