Research & Development Engineer

Role Overview: As a Quantitative R&D Engineer, you will be part of a team responsible for designing, validating, and scaling trading strategies that directly interact with crypto markets. Your role will involve working at the confluence of statistics, code, and markets by analyzing data, prototyping logic, and developing tools to convert ideas into capital allocation engines. Key Responsibilities: - Analyze on-chain and market data to identify inefficiencies and behavioral 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 transform research into production-grade, automated trading systems. - Explore MEV, cross-chain arbitrage, and predictive modeling for on-chain behavior. Qualifications Required: - 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. Additional Company Details: The company offers: - Work on live systems deploying 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. (Note: Skills mentioned in the job description include Python, pandas, Blockchain, GenAI, and Generative AI) Role Overview: As a Quantitative R&D Engineer, you will be part of a team responsible for designing, validating, and scaling trading strategies that directly interact with crypto markets. Your role will involve working at the confluence of statistics, code, and markets by analyzing data, prototyping logic, and developing tools to convert ideas into capital allocation engines. Key Responsibilities: - Analyze on-chain and market data to identify inefficiencies and behavioral 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 transform research into production-grade, automated trading systems. - Explore MEV, cross-chain arbitrage, and predictive modeling for on-chain behavior. Qualifications Required: - 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. Additional Company Details: The company offers: - Work on live systems deploying 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. (Note: Skills mentioned in the job description include Python, pandas, Blockchain, GenAI, and Generative AI)