Quantitative Crypto Trader

Who are we What We Offer

• Innovative Work: Be part of a team advancing new technology within the crypto industry;

• Modern Workspace: Enjoy our new office located at Schiphol-Rijk;

• Daily Perks: Free lunch, fresh fruit and weekly Friday drinks at our company bar;

• Team Events: Engage in monthly team events and bonding activities;

• Commuting & Pension: Receive commuting allowance and a solid pension plan;

• Benefits & Wellness: 25 vacation days, monthly chair massages, and access to our company gym and Alleo benefit program;

• Extra Perks: A €250 home-office setup budget after completing your probation period.

• Yearly L&D Budget: Of EUR 2000,-!

]]> About the role About the role Coinmerce is strengthening its digital asset trading division and is looking for a Quantitative Crypto Trader who can transform data-driven insights into live, scalable strategies. This is a production-focused role where ideas are expected to be implemented, deployed, and measured in real market conditions.

You will leverage our proprietary trading infrastructure to uncover inefficiencies across global crypto markets and convert them into systematic, risk-managed strategies operating across multiple exchanges.

Responsibilities

• Develop, test, and run algorithmic trading strategies across crypto spot and derivatives markets

• Identify structural inefficiencies and cross-venue opportunities across centralized and decentralized exchanges

• Study order book behavior, liquidity patterns, volatility shifts, and funding dynamics to uncover alpha

• Improve execution performance by optimizing latency, fill rates, and slippage control

• Deploy and maintain strategies within our internal trading framework

• Continuously evaluate live performance, risk exposure, and capital efficiency

• Collaborate closely with engineers to enhance trading systems, connectivity, and execution logic

Requirements

• Degree in Mathematics, Physics, Computer Science, Engineering, or another quantitative field

• Strong analytical mindset with proven ability to solve complex quantitative problems

• Hands-on experience building systematic strategies in crypto, derivatives, FX, or traditional financial   markets

• Solid understanding of probability, statistics, and time-series analysis

• Experience implementing data-driven or machine learning models in production environments

• Strong programming skills in Python, Rust, C++, or similar languages

• Experience working with exchange APIs, automated trading systems, or low-latency infrastructure is a plus

]]>