Lead Quantitative Researcher - ML-Driven HFT & Mentorship

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

Benefits offered by this job

Bonus/Profit sharing

Tuition reimbursement

Conference sponsorship

Flexible workflow

Job summary

Pinely in Amsterdam is seeking a Senior Quantitative Researcher to lead research directions and manage a team in our Amsterdam office.

You will develop and deploy ML-based statistical arbitrage strategies, analyze market data across multiple exchanges, and design features for fast-evaluated models. The role emphasizes mentorship, collaboration with internal teams, and delivering production-ready solutions.

Qualifications

• 5+ years of experience in a high-frequency trading environment.
• Proficient in ML models for live trading strategies.
• Experience building production ML pipelines across multiple exchanges.
• Strong communication and mentoring skills.

Responsibilities

• Lead research directions and manage team members.
• Develop and deploy ML-based arbitrage strategies.
• Analyze market data to explore new ideas.
• Design features and models for fast inference.
• Collaborate with ML pipelines to support strategy development.
• Drive optimization of existing models and production deployment.
• Mentor colleagues and interns as needed.

Skills

Quantitative Research

Machine Learning

Python

Team Leadership

HFT knowledge

Data Analysis

Tools

ML pipelines

Trading systems

Python (pandas/numpy)

Job description

Pinely in Amsterdam is seeking a Senior Quantitative Researcher to lead research directions and manage a team in our Amsterdam office.

You will develop and deploy ML-based statistical arbitrage strategies, analyze market data across multiple exchanges, and design features for fast-evaluated models. The role emphasizes mentorship, collaboration with internal teams, and delivering production-ready solutions.