Quant Trader - HFT Digital Assets

About Fourstroke

We are Fourstroke, an Amsterdam-based quantitative trading firm operating across global

digital asset markets. We develop and operate systematic market-making strategies,

combining research, engineering, and machine learning into a single integrated platform.

Since our founding in 2021, we have built a successful, fully automated trading operation

active across hundreds of markets and multiple exchanges. We operate with a small, highly

technical team (7p) and continue to push the performance and sophistication of our

systems further. To support this expansion, we are looking for a talented quant trader to join

us.

Your opportunity

You’ll work at the intersection of quantitative research and live trading across global crypto

markets, with direct impact on strategy performance and execution.

You will work closely with quantitative researchers and software engineers, combining

rigorous analysis with practical trading judgement to turn ideas into robust production

improvements.

Responsibilities

• Research and improve systematic market-making and short-horizon strategies.
• Analyse high-frequency data, order books, fills, and execution quality.
• Identify new signals and validate them with robust statistical methods.
• Build backtests and simulations that reflect live market conditions.
• Turn research into production trading logic with our engineers.
• Monitor live strategies and optimize execution, parameters, and risk.
• Support portfolio construction, new markets, and day-to-day trading operations.

Profile

• 2+ years in quantitative trading or research, ideally in market making or HFT.
• Strong foundations in probability, statistics, time series, and optimisation.
• Strong Python and large-dataset skills (e.g. Databricks).
• Strong trading intuition and practical knowledge of market microstructure, execution, liquidity, exchange dynamics, and trading-risk.
• Commercially minded, with the common sense to challenge assumptions and separate genuine opportunities from noise.
• Decisive and comfortable owning ideas from research through live production in a
• lean team.
• BSc / MSc in Mathematics, Statistics, Computer Science, Physics, or a related field.
• Curious about AI-native research tools (e.g. Claude Code, Codex).
• Enjoy working in small, highly technical teams.
• Curiosity and genuine enthusiasm for trading and digital assets.

What we offer

• A collaborative, high-energy work environment.
• The chance to become a key contributor at an early-stage trading firm with strong momentum.
• Competitive base salary + generous performance-based bonus scheme.
• Flexible hybrid setup (up to 2 days remote per week).
• Trendy Amsterdam office with our own espresso bar and free lunch.
• 28 paid holidays + 1st Class train subscription for your commute.
• Visa sponsorship (if needed).
• Top-tier gear: MacBook Pro (14/16") + headset of your choice.
• Regular team events (incl. yearly ski trip), office drinks, and attendance at leading
• industry conferences.

How to apply

• Write a brief paragraph about yourself and why you are enthusiastic about this role.
• Send it, along with an up-to-date resume, to [email protected] (our recruitment agency).