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!