Quantitative Researcher

Quantitative Researcher – Systematic Trading | London (Hybrid)

We’re hiring a Quantitative Researcher with strong Python skills and a solid foundation in statistics and probability theory. This role involves designing and improving algorithmic trading strategies across CeFi and DeFi markets, including spot, derivatives, and ETPs.

You’ll work closely with researchers, traders, and developers to build and optimize models, using large-scale market data and simulation tools. Depending on your experience, you'll either focus on market making and high-frequency signals or machine learning-driven signal research and automation.

What we're looking for:

• Strong coding ability in Python (C++ is a plus)
• Background in a quantitative field (Math, Physics, CS, etc.)
• Experience with statistical modeling and/or ML techniques
• Track record in trading signal research, strategy design, or competition wins (e.g. Kaggle, Olympiads)

Nice to have:

• Experience in HFT/MFT strategy development
• Familiarity with trading infrastructure and market microstructure

What is on offer:

• High-impact work with autonomy from day one
• Fast-paced, flat-structured environment without bureaucracy
• Competitive comp, including performance-based upside