Senior Quantitative Researcher | Mid-frequency | Crypto

Position: Senior Quantitative Researcher | Mid-frequency | Crypto Options
About Block Tech
Block Tech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short.

About Block Tech
Block Tech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short.

High-frequency options trading is where we're strongest, and we're widening our scope to include more mid-frequency work. We're looking for a senior Quantitative Researcher with a mid-frequency background to join our Amsterdam trading floor.

The role
You'll be in charge of developing our mid-frequency capabilities, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You'll sit with traders, researchers, and analysts, and raise the bar for research across the floor.

You Will

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

What we're looking for

3+ years of quantitative research experience at a hedge fund, trading firm, or similar, with mid-frequency models you've taken live

A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, or computer science)

Fluency in Python and the modern ML stack (PyTorch and/or Tensor Flow, scikit-learn, Num Py, 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: you write production-grade code that others can read, test, and run

The judgement to prioritize your own research bets, and clear communication with traders and engineers

Nice to have

A mid-frequency track record in crypto derivatives markets

Experience mentoring or leading other researchers

What's in it for you?

A seat on a trading floor where research, engineering, and trading happen a few meters apart, guaranteeing short feedback loops, real ownership, and direct impact on live PnL

Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance. Outstanding performance is rewarded with the opportunity to buy into the trading fund

Pension plan, company laptop, and reimbursement of your internet costs at home

An extensive in-house training program and an annual learning & development budget, working at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models

Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, Cross Fit, fitness, and soccer, plus regular social events including weekly Friday drinks, monthly outings, quarterly sports competitions, and bi-annual trips abroad

Daily breakfast and warm lunch, with snacks and drinks provided throughout the day. For internationals:…