About Quadeye Quadeye is an algorithmic trading firm operating across major global financial markets and exchanges. We combine quantitative research, advanced mathematical modeling, and high-performance technology to develop sophisticated automated trading strategies across diverse asset classes. Our teams work at the intersection of markets, mathematics, statistics, and technology, with significant ownership across the entire strategy lifecycle—from research and ideation to implementation, deployment, and optimization. We offer a highly meritocratic environment where talented researchers and engineers have the opportunity to work on challenging problems, access world-class infrastructure, and see the direct impact of their work on live trading performance. The Role We are looking for a Quant Developer with 1+ years of relevant experience to join our high-performance trading team and build robust tools and systems that support our trading and research workflows. You will work closely with traders, researchers, and engineers to automate pre- and post-trading processes, build trading analytics, monitor production systems, and solve operational and technical challenges in a fast-paced, low-latency trading environment. This is a high-ownership role where you will contribute across the trading technology lifecycle: Trading Workflows → Automation → Analytics → Production Monitoring → Troubleshooting → Optimization What You’ll Do • Develop and maintain pre-trading setup pipelines, including trading file generation and validation. • Build and automate post-trading reports and analytics to support trading and research teams. • Develop production tools and utilities to improve the efficiency and reliability of trading workflows. • Monitor trading systems and investigate production alerts, failures, and operational issues. • Work closely with traders, researchers, and engineers to translate requirements into robust technical solutions. • Troubleshoot issues across applications, data pipelines, and Linux-based production environments. • Improve existing processes through automation and eliminate repetitive manual workflows. • Contribute to the reliability, scalability, and performance of trading infrastructure. Requirements • 1+ years of relevant experience in software development, quant development, trading infrastructure, production engineering, or a related role. • Strong programming skills in Python and/or C++. • Good understanding of Linux/Unix environments and shell scripting. • Experience developing automation scripts, production utilities, or data-processing workflows. • Strong analytical, debugging, and problem-solving skills. • Familiarity with Git and software development best practices. • Ability to work effectively in a fast-paced, production-critical environment. • Strong written and verbal communication skills.