Jobid=1742_8419154(0.0889)
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
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