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