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