Quant Researcher responsible for analyzing market microstructure and on-chain data, applying statistical and machine-learning techniques, and designing and implementing market-making, arbitrage, and systematic strategies.
Requirements
- M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field
- 1–5 years of quantitative research/analysis or development experience
- 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
- Solid grasp of data structures, algorithms, software engineering principles, and version control
- Experience with statistical analysis, backtesting methodologies, and strategy development