Algorithmic Crypto Trader for Live Market Strategies

Coinmerce

Schiphol-Rijk

On-site

EUR 70,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Free lunch
25 vacation days
€250 home-office setup budget
Yearly L&D Budget of €2000

Job summary

Coinmerce is seeking a Quantitative Crypto Trader to strengthen its digital asset trading division. You will develop and optimize algorithmic trading strategies across global crypto markets, applying data-driven insights to real market conditions. The role requires a strong analytical mindset and programming skills in Python, Rust, or C++. Ideal candidates will have experience in the crypto or traditional financial markets and are expected to transform insights into effective trading strategies within a collaborative team environment.

Qualifications

  • 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.

Responsibilities

  • Develop, test, and run algorithmic trading strategies across crypto spot and derivatives markets.
  • Identify structural inefficiencies and cross-venue opportunities across exchanges.
  • Continuously evaluate live performance, risk exposure, and capital efficiency.

Skills

Analytical mindset
Programming skills in Python, Rust, C++
Experience with exchange APIs

Education

Degree in Mathematics, Physics, Computer Science, Engineering

Job description

Coinmerce is seeking a Quantitative Crypto Trader to strengthen its digital asset trading division. You will develop and optimize algorithmic trading strategies across global crypto markets, applying data-driven insights to real market conditions. The role requires a strong analytical mindset and programming skills in Python, Rust, or C++. Ideal candidates will have experience in the crypto or traditional financial markets and are expected to transform insights into effective trading strategies within a collaborative team environment.
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