Graduate Quantitative Trader – Crypto HFT Amsterdam
Join a small, highly technical Amsterdam team researching and trading digital-asset markets with fully automated high-frequency strategies; previous finance or trading experience is not required.
This role may be relevant to PhD candidates, researchers and exceptional graduates from highly quantitative programmes who are interested in systematic trading. It uses Python, probability, statistics, mathematical modelling and data analysis. The source specifies a full-time, on-site role and an exceptionally strong academic PhD background.
- Employer
- eFinancialCareers
- Location
- Amsterdam, Amsterdam, Noord-Holland
- Pay
- €7.36-€14.71/hour
- Hours
- Not listed
- Language
- English-friendly
- Posted
- 18 Sept 2026
- Open until
- Not listed
eFinancialCareers describes an opening with a fast-growing proprietary trading firm in Amsterdam for a Graduate Quantitative Trader. The role 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 will join a small, highly technical team trading digital-asset markets using fully automated high-frequency strategies. You will 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
Candidates should have:
- 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
Application route: not provided.
Good to know before applying
This role may be relevant to PhD candidates, researchers and exceptional graduates from highly quantitative programmes who are interested in systematic trading. It uses Python, probability, statistics, mathematical modelling and data analysis. The source specifies a full-time, on-site role and an exceptionally strong academic PhD background.
