Analyze crypto markets to find trading opportunities and build automated trading strategies.
•We are looking for a Quantitative Researcher to join our NY-based team.
•You will analyze crypto markets to find trading opportunities and build automated trading strategies.
•Key Responsibilities Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
•Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
•Design and implement market-making, arbitrage, and systematic strategies end-to-end.
•Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
•Develop robust backtesting frameworks; conduct performance analysis and attribution.
•Requirements M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 3-5 years of quantitative research/analysis or development experience.
•Experience in HFT development.
•Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
•Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.