Lead Quant (DeFi)
Lead Quant Developer (Python) - Crypto High Frequency Trading
Location: Netherlands (Hybrid/On-site)
About the Role
We are seeking a Lead Quant Developer to join a technology-driven trading firm operating across digital asset markets. This individual will play a key role in designing, developing, and optimizing quantitative trading systems, working closely with traders, researchers, and engineering teams to deliver scalable and high-performance solutions. The role combines quantitative development, technical leadership, and direct involvement in the trading lifecycle from research to production.
Key Responsibilities
- Lead the development of quantitative trading and research platforms using Python.
- Build and enhance infrastructure supporting alpha generation, backtesting, simulation, and live trading.
- Partner with traders and researchers to transform trading ideas into production-ready strategies.
- Develop tools for market data collection, analysis, and signal generation.
- Drive improvements in execution performance, system reliability, and research workflows.
- Mentor quantitative developers and help establish engineering best practices.
- Contribute to the design of scalable trading architecture and data platforms.
- Work closely with infrastructure teams to ensure robust deployment and monitoring of trading systems.
Requirements
- Strong Python development experience in a quantitative or trading environment.
- Experience within crypto trading, proprietary trading, market making, quantitative trading, or high frequency trading.
- Proven track record building research, backtesting, execution, or market data platforms.
- Solid understanding of financial markets, market microstructure, and quantitative trading concepts.
- Experience working with large datasets and real-time data pipelines.
- Strong problem-solving skills and a data-driven approach to decision making.
- Previous leadership, mentorship, or technical ownership experience.
Nice to Have
- Experience with low-latency trading systems.
- Knowledge of exchange connectivity and order management systems.
- Experience with C++, Rust, Go, or other performance-oriented languages.
- Familiarity with machine learning and statistical modelling techniques.
- Background in cryptocurrency markets and digital asset trading.
What's on Offer
- Opportunity to influence the direction of a growing quantitative trading business.
- High degree of ownership and autonomy.
- Direct collaboration with traders, researchers, and senior leadership.
- Competitive compensation with performance-based rewards.
- Fast-moving environment where ideas can quickly move from research to production.
FAQs
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