Senior Quantitative Researcher – Mid-Frequency Crypto Trading

BlockTech; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

BlockTech in Amsterdam is seeking a senior Quantitative Researcher to lead mid-frequency research from hypothesis to live deployment. You will sit with traders, researchers, and analysts to raise the bar for research across the floor.

You will own models across crypto derivatives and spot, shape backtesting and infrastructure with engineers, monitor live performance, and mentor colleagues while maintaining rigorous validation.

Qualifications

• 3+ years of quantitative research experience at a hedge fund, trading firm, or similar.
• Strong academic foundation in a quantitative discipline (math/physics/statistics/computer science).
• Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas).
• A deep grasp of overfitting, validation design, and feature engineering. You can explain why a model works, not just that it does.
• Software engineering instincts: write production-grade code that others can read, test, and run.
• The judgment to prioritize your own research bets, and clear communication with traders and engineers.

Responsibilities

• Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL
• Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely
• Own models in production: monitor live performance, diagnose decay, and iterate on what you ship
• Set research direction alongside traders, deciding which trades are worth making and why
• Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour

Skills

Quantitative research

Python

ML stack

Model validation

Software engineering

Communication

Feature engineering

Academic background

Education

Quantitative discipline degree (math/physics/statistics/CS)

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

pandas

Job description

BlockTech in Amsterdam is seeking a senior Quantitative Researcher to lead mid-frequency research from hypothesis to live deployment. You will sit with traders, researchers, and analysts to raise the bar for research across the floor.

You will own models across crypto derivatives and spot, shape backtesting and infrastructure with engineers, monitor live performance, and mentor colleagues while maintaining rigorous validation.