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