Role Overview

• Design, backtest, and implement high- and mid-frequency statistical arbitrage strategies in crypto markets
• Focus on delta-neutral approaches such as perpetual futures vs. spot arbitrage, funding rate arbitrage, and market microstructure inefficiencies
• Collaborate with developers to productionize models and scale with firm capital

What You9ll Do

• Research, design, and implement systematic trading strategies in crypto markets (perp 6spot arbitrage, funding rate arb, cross-exchange stat arb, etc.)
• Build robust backtesting pipelines and simulation frameworks to validate strategies under realistic market conditions
• Analyze exchange market microstructure, liquidity, and funding dynamics to uncover edges
• Monitor and improve live strategy performance, including execution and risk management
• Collaborate with developers to deploy research code into production trading systems
• Maintain research documentation and communicate findings to the investment team

What We9re Looking For

• 2 6 4 years of experience in quantitative research or trading (crypto preferred, equities/futures acceptable with transferable skills)
• Experience researching and trading market-neutral or statistical arbitrage strategies
• Deep familiarity with crypto derivatives (perpetual swaps, funding rates, basis trades)
• Comfort working with tick-level order book data and designing event-driven simulations
• Understanding of exchange APIs (REST, WebSocket, FIX) and market data handling
• Familiarity with cloud-based workflows (AWS, Docker, distributed compute)
• Bonus: prior live deployment of crypto quant strategies at a prop firm, hedge fund, or HFT desk

Why Join Us?

• Work on production-grade infrastructure used in live trading environments
• Collaborate with experienced quant researchers and ex-HFT engineers
• Direct ownership over projects with real execution impact
• Exposure to distributed systems, streaming data, and cloud-native deployment workflows
• Fast-paced, outcome-driven, and intellectually rigorous environment
• Fully in-person collaboration in NYC among friendly colleagues