Graduate Quantitative Trader | Crypto HFT | Amsterdam

Efinancialcareers; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Qualifications

• PhD in a 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.
• Genuine interest in financial markets and quantitative trading.

Responsibilities

• 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 market problems.
• Help take research from initial idea through to production.

Skills

Python

Statistics

Data analysis

Quant modelling

Problem solving

Attention to detail

Communication

Financial markets interest

Education

PhD in quantitative field

Job description

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

Dienstverband:

Type vacature: Intern

Vaardigheden

• Er is geen minimale opleiding vereist
• Je beheerst Engels