Teams at Quadeye

Design, develop, and optimize low-latency trading systems for real-time trade execution and risk management. Responsibilities include performance tuning across operating systems, kernels, networking stacks, CPU architecture, and memory, along with building monitoring tools and reliable deployment processes. The role involves end-to-end ownership of software modules and close collaboration with engineers, quantitative researchers, and traders.

Research and develop data-driven trading strategies for global financial markets using statistical and machine learning techniques. Responsibilities include analyzing large datasets, writing optimized production code, deploying and monitoring strategies, investigating anomalies, and refining predictive models. The role requires strong quantitative aptitude, algorithms and object-oriented programming knowledge, Linux proficiency, and the ability to work effectively in a fast-paced environment.

Design and optimize ultra-low-latency trading systems, including real-time execution and risk infrastructure. Responsibilities include eliminating performance bottlenecks across operating systems, kernels, networking, CPU architecture, algorithms, and data structures. Collaborate with engineers and quantitative professionals to build scalable components. The role may also involve developing statistical and machine-learning-based trading strategies, implementing optimized code, and productionizing predictive models.