About

We are at the cutting edge of quantitative trading, leveraging rigorous research and advanced automation to thrive in both conventional and crypto markets. They empower top-tier institutional and retail clients with innovative algorithmic strategies, deep market insight, and scalable infrastructure built in-house. Our culture balances the discipline of high‑frequency trading with the entrepreneurial agility of a DeFi start-up.

Key Responsibilities

• Design and develop predictive market‑making and directional execution models
• Apply statistical and machine learning techniques to extract short‑term signals (ms–minutes horizon)
• Lead research initiatives: back‑testing, signal refinement, parameter optimization for diverse products (spot, derivatives, ETPs)
• Analyse high-frequency market data to uncover microstructure patterns and alpha-generating opportunities
• Simulate and model market interactions across liquid and illiquid instruments
• Build and maintain research tools and infrastructure using Python (and C++ where required)

Qualifications/Experience:

Essential

• Bachelor’s or Master’s in Mathematics, Statistics, Computer Science, Physics, or related discipline
• Proficient in Python with strong statistical and probabilistic modelling skills
• Hands-on experience or theoretical knowledge in market structure and trading dynamics
• Market-Making QuantTrack: Experience building market‑making/HFT/MFT strategies, signal design, live parameter tuning
• Quant-Research Track: Background in developing ML models, automated pipeline infrastructure, version control, and training diagnostics

Nice-to-Have

• Competitive programming/math competition experience (e.g. Kaggle, Topcoder)
• C++ proficiency
• Exposure to both CeFi and DeFi markets—bonus but not required

What's on offer:

• Competitive salary
• Large allocation of tokens/equity in a high growth start-up
• Hybrid working
• Opportunity to work on a stealth project for a VC backed start-up

If this sounds like it's of interest, please get in touch!