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Senior Quantitative Researcher | Mid-frequency | Crypto Options

blocktechAmsterdamTrading
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 3+ yrs
Posted
9 Sept 2026
Status
Open · checked 9d ago

About this role

This role suits an experienced quantitative researcher with a mid-frequency background who wants to lead strategy on a trading floor in Amsterdam. The position involves building and managing price-prediction, signal, execution, and anomaly-detection models for digital asset spot and derivatives markets.

Role Overview

BlockTech seeks a Senior Quantitative Researcher to expand its mid-frequency capabilities at the Amsterdam office. The professional will direct the research agenda entirely, covering everything from initial data collection and hypothesis creation to backtesting and production deployment.

Key Responsibilities

Build and manage price-prediction, signal, execution, and anomaly-detection models for digital asset spot and derivatives markets from conception to live profit and loss.
Collaborate with engineers to design research, backtesting, and trading systems that move concepts into production efficiently and securely.
Oversee production models by tracking performance, identifying decay, and refining deployed strategies.
Determine research strategy alongside traders by evaluating potential trades.
Elevate research quality through peer reviews, mentorship, and standard-setting.

Requirements

Three or more years of quantitative research background gained at a trading firm, hedge fund, or comparable setting, featuring deployed mid-frequency models.
Academic background in a quantitative field such as computer science, physics, mathematics, or statistics.
Proficiency in Python alongside modern machine learning libraries including PyTorch, TensorFlow, scikit-learn, NumPy, and pandas.
Understanding of feature engineering, validation design, and overfitting prevention.
Software engineering capabilities for writing maintainable, testable production code.
Ability to prioritize research initiatives and communicate effectively with engineers and traders.

Nice to Have

Proven mid-frequency experience within crypto derivatives markets.
Background in guiding or leading other researchers.

Skills and Tools

Python
PyTorch
TensorFlow
scikit-learn
NumPy
pandas

Salary and Benefits

Competitive compensation package comprising a base salary and a bonus plan tied to company and individual performance, with top performers earning the chance to buy into the trading fund.
Pension plan, company laptop, and home internet expense reimbursement.
Internal training program, annual learning and development budget, gym membership reimbursement, and sports opportunities during work hours.
Social activities including weekly Friday drinks, monthly outings, quarterly sports tournaments, and bi-annual international trips.
Daily breakfast, hot lunch, snacks, and beverages provided on-site.
Comprehensive relocation package and Dutch language classes for international hires.

About the Company

BlockTech is an algorithmic trading firm that operates continuously using proprietary capital to trade crypto spot and derivatives across international venues.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonPyTorchTensorFlowscikit-learnNumPypandas

Questions candidates ask

Where is the job located?

The position is based on the trading floor in Amsterdam.

What level of experience is required?

The company requires 3+ years of quantitative research experience at a trading firm, hedge fund, or similar organization.

What programming languages and tools are needed?

The role requires fluency in Python and the modern machine learning stack including PyTorch, TensorFlow, scikit-learn, NumPy, and pandas.

What benefits are included in the compensation?

Compensation includes a base salary, a performance-based bonus plan, pension, laptop, internet reimbursement, training budget, relocation package, daily meals, and wellness perks.

Ready to apply?

The application is on the official blocktech careers page.

Apply on company site