I’m working with a fast-growing proprietary trading firm in Amsterdam that is looking to hire an Experienced Quantitative Trader into its crypto HFT business. The firm trades systematically across digital-asset markets using fully automated, high-frequency strategies and a low-latency trading platform. This is a hands-on role sitting between quantitative research, live trading and strategy implementation . You’ll be expected to develop new trading ideas, analyse market behaviour, improve existing algorithms and take increasing ownership of strategies running in production. The role:- You will: - Research and develop systematic trading strategies - Analyse high-frequency market and order-book data - Identify new trading opportunities and market inefficiencies - Backtest and validate quantitative ideas - Monitor and optimise live strategies - Investigate trading performance, execution and market behaviour - Work closely with traders and engineers to move research into production - Take meaningful ownership of strategies and trading decisions What we’re looking for Essential: - Master’s or PhD in Mathematics, Physics, Computer Science, Engineering, Econometrics or another highly quantitative subject - Strong Python programming skills - Strong statistics, probability and quantitative modelling ability - Experience working in a systematic / quantitative trading or research environment - Ability to develop and test trading ideas using real market data - Strong analytical and problem-solving ability - Willingness to work on-site in Amsterdam Particularly interesting backgrounds: - HFT / electronic market making - Short-horizon systematic trading - Statistical arbitrage - Market microstructure research - Cross-venue / arbitrage strategies - Automated market making - Quantitative trading across equities, futures, options or crypto Previous crypto experience is helpful but not essential. Strong systematic traders/researchers from other liquid asset classes are very relevant if they are interested in moving into digital assets. Experience with Rust, C++ or low-latency systems is advantageous but not required for the Quant Trader role. Environment This is a small, highly technical trading team where researchers, traders and engineers work closely together. It will suit someone who wants more strategy ownership and faster research-to-production cycles than they might get at a larger platform. Location: Amsterdam Working model: On-site Asset class: Crypto / Digital Assets Strategy style: Systematic / High Frequency / Market Making