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 Strong, hands-on Java development 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: Client pricing 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