Experienced quantitative trader crypto hft Vacatures

Over de vacature

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

Over de vacature

I'm working with a fast-growing proprietary trading firm in Amsterdam looking to hire an exceptional Graduate Quantitative Trader .

This is aimed at candidates with outstanding quantitative ability , typically from a top academic or research background, who want to move into systematic trading.

Previous finance or trading experience is not required .

You'll join a small, highly technical team trading digital-asset markets using fully automated high-frequency strategies.

You'll work closely with experienced quantitative traders, researchers and engineers to:

• Analyse large, high-frequency datasets

• Research and test new quantitative trading ideas

• Identify patterns and opportunities in market data

• Help implement and optimise systematic trading strategies

• Monitor live algorithms and investigate trading behaviour

• Apply statistical and mathematical techniques to real market problems

• Help take research from initial idea through to production

Requirements

We're looking for candidates with:

• An exceptionally strong academic PhD background in Mathematics, Statistics, Physics, Computer Science, Econometrics, Engineering or another highly quantitative field

• Excellent Python programming ability

• Strong probability, statistics and mathematical modelling skills

• Excellent data-analysis and critical-thinking ability

• Evidence of solving difficult quantitative problems independently

• Strong attention to detail and communication skills

• A genuine interest in financial markets and quantitative trading

PhD candidates, researchers and exceptional graduates from highly quantitative programmes are particularly encouraged to apply.

No previous financial-markets experience is required.

Location: Amsterdam

Working model: Full-time, on-site

Asset class: Crypto / Digital Assets

Experience: Graduate / Early Career

Compensation: Above-market salary + performance bonus