Senior Quantitative Researcher, Digital Assets Trading

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

Benefits offered by this job

Flow Academy access

Daily catered lunch

In-house gym

Bi-weekly massages

Annual company trip

Global rotations across offices

Discretionary profit share

Job summary

Flow Traders, Amsterdam, seeks a Senior Quantitative Researcher to expand Digital Assets trading capabilities using advanced research and a quantitative platform. You will translate research into profitable trading strategies and collaborate with Trading and Technology to productionize models.

Ideal candidates have 3+ years in systematic trading, a track record in profitable strategies, and strong ML/data expertise.

Qualifications

• 3+ years of experience in systematic trading.
• Proven track record of profitable trading or market-making strategies.
• Strong understanding of financial markets, electronic trading, and market microstructure.
• Experience with large-scale market data, ML operations frameworks, and HPC.
• Excellent communication and stakeholder management across Trading and Tech.
• Strategic vision for ML/AI in algorithmic trading.
• Experience in Digital Assets markets is preferred.

Responsibilities

• Identify competitive advantages in Digital Assets markets and build quantitative strategies.
• Develop pricing and execution models for end-to-end quantitative trading strategies.
• Research and optimise systematic market‑making strategies across Digital Assets products and venues.
• Collaborate with Trading and Technology to bring quantitative strategies from research into production.

Skills

Systematic trading

Quantitative research

Machine learning

Data analysis

Communication

Stakeholder management

Digital assets knowledge

Tools

Machine learning frameworks

High-performance computing

Large-scale data processing

Job description

Flow Traders, Amsterdam, seeks a Senior Quantitative Researcher to expand Digital Assets trading capabilities using advanced research and a quantitative platform. You will translate research into profitable trading strategies and collaborate with Trading and Technology to productionize models.

Ideal candidates have 3+ years in systematic trading, a track record in profitable strategies, and strong ML/data expertise.