Quantitative Researcher – Systematic Digital Assets
Core
Research new sources of alpha across highly electronic markets and improve sophisticated systematic strategies deployed in production for live trading in digital assets.
Role type
Senior IC quantitative researcher (systematic trading)
Builds
Systematic alpha signals, pricing/trading models, and backtesting frameworks for live deployment
Domain
Digital assets / Crypto markets / High-frequency trading
Deliverable
production ML models
Required skills
Statistics, probability, modelling, data analysis, Python, SQL, order-book dynamics, electronic exchange mechanics, hypothesis formulation, robustness testing
Preferred skills
High-frequency trading, systematic trading, electronic market making, statistical arbitrage, execution research, market microstructure, quantitative proprietary trading, advanced degree in quantitative discipline, experience at leading systematic fund or proprietary trading firm
Technologies
Python, SQL
Responsibilities
Research short-horizon predictive signals from high-frequency market data, develop and improve pricing and trading models, analyse order books and market microstructure, identify structural inefficiencies across fragmented markets, build sophisticated backtesting frameworks, perform execution and post-trade analysis, translate research hypotheses into live deployment
Seniority
Senior, hands-on IC
