Senior Quant Researcher - Mid-Frequency Crypto Options

Unchain Data; Amsterdam; On-site; EUR 120,000 - 190,000; Full time

Benefits offered by this job

Trading floor access

Attractive bonus plan

Pension plan

Relocation for internationals

Tech training budget

Daily meals

Job summary

BlockTech, a fast-paced algorithmic trading firm, seeks a senior Quantitative Researcher with a mid-frequency background for our Amsterdam trading floor. You will own mid-frequency models end-to-end—from hypothesis and dataset construction to training, backtesting, and live deployment—collaborating with traders and engineers to push research into production.

Ideal candidates have 3+ years in quantitative research, a strong math/CS background, and fluency in Python with the modern ML stack;

Qualifications

• - 3+ years of quantitative research experience with mid-frequency models that have gone live
• - Strong academic foundation in a quantitative discipline (math, physics, stats, or CS)
• - Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas)
• - Ability to explain why a model works (not just that it does) and avoid overfitting
• - Software engineering instincts for production-grade code
• - 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 research, backtesting, and trading infrastructure with engineers for rapid, safe production
• Own models in production: monitor performance, diagnose decay, and iterate
• Set research direction with traders, deciding which trades are worth pursuing
• Mentor colleagues, review work, and raise the bar for rigour

Skills

Python

ML stack

Feature engineering

Model validation

Production-grade code

Communication

Quantitative research

Education

Master's or PhD in Mathematics/Physics/Statistics/CS

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

pandas

Job description

BlockTech, a fast-paced algorithmic trading firm, seeks a senior Quantitative Researcher with a mid-frequency background for our Amsterdam trading floor. You will own mid-frequency models end-to-end—from hypothesis and dataset construction to training, backtesting, and live deployment—collaborating with traders and engineers to push research into production.

Ideal candidates have 3+ years in quantitative research, a strong math/CS background, and fluency in Python with the modern ML stack;