Research & Development Engineer

As a Quantitative R&D Engineer, you’ll join the team responsible for designing, validating, and scaling trading strategies that interact directly with crypto markets. You’ll work at the intersection of statistics, code, and markets — exploring data, prototyping logic, and building tools that convert ideas into capital allocation engines. 🔍 What You’ll Work On Analyze on-chain and market data to identify inefficiencies and behavioural patterns. Develop and prototype systematic trading strategies using statistical and ML-based techniques. Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks. Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation. Collaborate with engineers to turn research into production-grade, automated trading systems. Explore MEV, cross-chain arbitrage, and predictive modelling for on-chain behaviour. ✅ Who You Are You’re curious, analytical, and eager to work where code meets markets. You enjoy designing systems that act autonomously and uncover edge in complex, noisy data. You’re comfortable working in an experimental, high-ownership environment. Ideal Traits Proficiency in Python and experience working with data (Pandas, NumPy, etc.) Understanding of probability, statistics, or ML concepts. Strong interest in markets, trading, or algorithmic systems. Self-driven and comfortable with ambiguity, iteration, and fast learning cycles. 📚 Bonus Points For Experience with backtesting, feature engineering, or strategy evaluation. Familiarity with crypto primitives (AMMs, perps, mempools, MEV, etc.) Projects or research involving trading bots, alpha signals, or data modelling. Use of on-chain analytics tools (Dune, The Graph, Nansen, etc.) Participation in hackathons, quant competitions, or open-source work. 🎁 What You’ll Gain Work on live systems that deploy real capital in 24/7 crypto markets. Access to proprietary infrastructure, backtesting tools, and strategy libraries. Mentorship from experienced quants, traders, and DeFi engineers. Freedom to explore, test, and scale your ideas into real-world performance. A high-trust, fast-moving team focused on pushing boundaries. Skills:- Python, pandas, Blockchain, GenAI and Generative AI Show more Show less