Quant Researcher
Core
Design, research, and deploy algorithmic trading strategies for digital asset markets using statistical and machine learning models.
Role type
Quantitative Researcher (Digital Assets/Prop Trading)
Builds
Algorithmic trading strategies and live trading systems
Domain
Digital asset markets / Proprietary trading
Deliverable
production ML models
Required skills
Python, C++, Rust, Statistics, Probability, Optimization, Machine Learning, Backtesting
Preferred skills
Crypto-native mindset, DEX mechanics, MEV, Liquidity modeling, Blockchain analytics tools (Dune, Nansen, Tenderly)
Technologies
Python, C++, Rust, Dune, Nansen, Tenderly
Responsibilities
Design and deploy algorithmic trading strategies, Analyze on-chain and market datasets, Build and refine statistical/ML models for live trading, Conduct robust backtests, Partner with engineers and traders
Seniority
Senior, hands-on IC