Jobs 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.

Design, implement, and optimize data-driven trading strategies for Asian markets. Responsibilities include analyzing large datasets, applying statistical and machine learning methods, developing high-performance production code, building research and backtesting pipelines, productionizing strategies, monitoring performance, and collaborating with engineering teams to ensure scalable, robust systems.

Develop and maintain trading infrastructure, including pre-trading pipelines, post-trading reports, latency monitoring, alpha analytics, dashboards, predictors, and workflow automation. Support trading platform deployments, troubleshoot production issues, analyze simulation versus production performance, and improve system reliability. Collaborate with traders, researchers, and engineers in a fast-paced, low-latency environment.

Interns will design, implement, optimize, test, deploy, and monitor ultra-low-latency trading and risk-management systems. Responsibilities include real-time system development, CPU and cache optimization, OS-level tuning, high-performance networking, kernel and microarchitecture research, lock-free data structures, and performance-monitoring tool development. Interns collaborate with quantitative researchers, traders, and infrastructure engineers while gaining experience with production systems and potential full-time conversion.

As a Full Stack Engineering Intern, you will build and enhance internal web applications for trading, quant, infrastructure, compliance, and operations teams. Responsibilities include developing data manipulation and trade monitoring tools, improving system reliability and user experience, proposing and justifying solutions, and owning development, testing, deployment, and monitoring. The role requires collaboration in a fast-paced environment and exposure to scalable, real-time systems.

Monitor and support live high-frequency trading systems across global electronic markets. Responsibilities include managing startup and shutdown procedures, responding to market alerts and outages, coordinating with exchanges and trading teams, and using scripting and data manipulation in a fast-paced environment. The role requires rotational shifts, strong communication, Unix experience, monitoring-tool knowledge, and the ability to manage high-priority issues under pressure.

Quantitative Strategist Interns conduct mathematical, statistical, and programming research to develop and backtest trading strategies. They analyze market data, microstructure, and strategy performance; improve research methodologies; build quantitative models and tools; and develop features for live, low-latency trading systems. The role is designed for engineering students with strong quantitative, analytical, algorithmic, and object-oriented programming skills.

Develop and maintain full-stack internal applications for quant, infrastructure, compliance, and operations teams in a high-performance trading environment. Responsibilities include designing solutions, developing and testing software, deploying and monitoring applications, improving trading-monitoring tools, manipulating and interpreting data, enhancing user experience, and collaborating with stakeholders across multiple high-priority projects.

Manage and administer Linux hardware, software, storage, firewall, and trading infrastructure in a 24/7 production environment. Provide hands-on support for colocated, office, and data center systems; troubleshoot servers, hardware, installations, and upgrades; monitor infrastructure; optimize systems for low latency; and support high-priority production issues and projects.

Develop and enhance data-driven trading strategies for US financial markets. Responsibilities include analyzing large datasets, generating predictive signals, collaborating with trading and engineering teams, and owning research and strategy development end to end. The role requires quantitative problem-solving, statistical analysis, programming, algorithms, and Linux/Unix expertise in a fast-paced research environment.