Quant Researcher – Digital Assets (London)

About the role

We are building a high‑performance team that designs systematic trading strategies for digital assets. The role combines rigorous research, statistical modelling and rapid prototyping in a fast‑moving prop‑trading environment.

Key responsibilities

• Design, test and optimise systematic trading strategies focused on cryptocurrencies and other digital assets.
• Apply modern statistical and machine‑learning techniques to identify market inefficiencies.
• Explore new data sources, clean and transform datasets, and extract actionable signals.
• Collaborate with engineers to improve model performance and production infrastructure.
• Take research ideas from prototype to live deployment and monitor real‑world performance.

Required profile

• Strong academic background in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics or Mathematics.
• Demonstrated ability to conduct independent research and deliver impactful results.
• Excellent problem‑solving skills, critical thinking and a passion for continuous learning.
• Experience with applied research in technology or finance is a plus.
• Ability to work collaboratively and thrive in a merit‑based, flat culture.

Required skills

• Proficiency in Python.
• Proficiency in C++.
• Experience with machine learning techniques.
• Strong statistical analysis capabilities.

What we offer

• Direct exposure to live trading and immediate feedback on research impact.
• Flat, merit‑based culture that rewards ideas and execution.
• Opportunity to work alongside seasoned professionals in quant finance and blockchain.
• Competitive compensation package.