Quantitative Researcher

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

Benefits offered by this job

Relocation package

Dutch classes for internationals

Daily meals

Gym reimbursement

Team trips abroad

Job summary

Albert Bow Limited, an early-stage algorithmic trading firm, is expanding its mid-frequency research capability in Amsterdam. You will own the research agenda end-to-end, from hypothesis formation and data handling to model training, backtesting and live deployment.

You will collaborate with traders and engineers, owning models in production and raising the research bar across the trading floor. A strong track record, deep ML knowledge, and production-grade coding are essential for success.

Qualifications

• Strong academic background in maths, physics, statistics or CS.
• Fluency in Python and the ML stack (PyTorch/TensorFlow, scikit-learn, NumPy, pandas).
• 3+ years of quant research at hedge fund or trading firm, with mid-frequency models live.

Responsibilities

• Lead the build-out of the mid-frequency capability from hypothesis to live deployment.
• Own models in production and maintain the research agenda end-to-end.
• Collaborate closely with traders and engineers to raise research standards across the floor.

Skills

Python

PyTorch

TensorFlow

scikit-learn

NumPy

Pandas

Production-grade coding

Statistics

Feature engineering

Education

Mathematics/Physics/Statistics or CS degree

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

Pandas

Job description

Sector: Algorithmic Trading / Digital Asset Derivatives

Salary: Competitive Base + Performance Bonus

Location: Amsterdam (Onsite, relocation provided)

About The Company

Our client is a fast-growing algorithmic trading firm trading digital asset derivatives and spot globally, 24/7, with its own capital. High-frequency options trading is their core strength, and they’re now expanding into mid-frequency.

The Role

You’ll lead the build-out of their mid-frequency capability, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You’ll work closely with traders and engineers, own models in production, and raise the research bar across the floor.

Requirements

• 3+ years of quant research at a hedge fund, trading firm or similar, with mid-frequency models taken live.
• Strong academic background in maths, physics, statistics or CS.
• Fluency in Python and the ML stack (PyTorch/TensorFlow, scikit-learn, NumPy, pandas).
• Deep grasp of overfitting, validation design and feature engineering.
• Production-grade coding instincts.

Nice to Have

• Mid-frequency track record in crypto derivatives.
• Experience mentoring or leading researchers.

Why Join?

• Build out a new mid-frequency capability from the ground up.
• Base plus strong performance bonus, with the opportunity to invest in the trading fund.
• Full relocation package and Dutch classes for internationals.
• Daily meals, gym reimbursement and regular team trips abroad.