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