About
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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 disciplineProficient in Python with strong statistical and probabilistic modelling skillsHands-on experience or theoretical knowledge in market structure and trading dynamicsMarket-Making QuantTrack : Experience building market‐making / HFT / MFT strategies, signal design, live parameter tuningQuant-Research Track : Background in developing ML models, automated pipeline infrastructure, version control, and training diagnosticsNice-to-Have
Competitive programming / math competition experience (e.g. Kaggle, Topcoder)C++ proficiencyExposure to both CeFi and DeFi markets—bonus but not requiredWhat's on offer :
Competitive salaryLarge allocation of tokens / equity in a high growth start-upHybrid workingOpportunity to work on a stealth project for a VC backed start-upIf this sounds like it's of interest, please get in touch!