Java Developer

A leading crypto trading firm is looking for a strong Java Developer to join a front-office technology team working directly with Traders and Quantitative Researchers.

This is a hands-on role focused on pricing, market making and live trading systems. The successful candidate will work closely with the trading and quant teams to take trading ideas and models—such as changes to pricing logic, volatility curves or market-making strategies—and turn them into robust, production-ready Java systems.

The role is ideally suited to someone with strong Java experience and exposure to electronic trading, algorithmic trading, pricing or market making in a high-pressure, fast-paced environment.

Key Responsibilities

• Work directly with Traders and Quantitative Researchers to develop and enhance production trading systems.
• Implement and enhance pricing models, volatility curves and market-making strategies.
• Develop and maintain business-critical real-time trading applications.
• Collaborate with researchers using Python and KDB/Q, taking research concepts and productionising them in Java.
• Improve the robustness, performance and scalability of live trading systems.
• Respond to changing market and trading requirements in a fast-moving environment.
• Take ownership of production systems operating in a high-pressure environment.

Required Skills & Experience

• Exposure to front-office trading environments, ideally involving live pricing, execution, market making or algorithmic trading.
• Experience working directly with Traders and/or Quantitative Researchers.
• Strong understanding of the challenges of building and supporting real-time trading systems.
• Experience taking trading or quantitative concepts and implementing them in production code.
• Exposure to pricing and/or market data.
• Strong problem-solving skills and the ability to work effectively in a demanding, fast-paced environment.

Highly Desirable Experience

We are particularly interested in candidates with experience in:

• Market making
• Algorithmic trading
• Pricing engines or real-time pricing systems
• Volatility curves and/or quantitative pricing models
• KDB/Q and Python for research or quantitative analysis
• eFX, Equities or ETFs
• Options experience is also relevant
• Performance-sensitive or low-latency systems