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 Full Stack Engineering Intern to build and enhance internal applications and tools that support our Quant, Infrastructure, Compliance, and Operations teams. You will work on real-world problems in a fast-paced trading environment, collaborating with different teams to understand their requirements and translate them into effective technical solutions. You will have the opportunity to propose solution approaches, make thoughtful design decisions, and contribute across the development lifecycle—from implementation and testing to deployment and monitoring. Problem Discovery → Solution Design → Development → Testing → Deployment → Monitoring What You’ll Do • Build and enhance in-house web applications used across our trading and business teams. • Develop tools for data manipulation, trade monitoring, and operational workflows. • Improve the user experience, reliability, and performance of existing internal systems and applications. • Work closely with Quant, Infrastructure, Compliance, and Operations teams to understand requirements and solve real-world problems. • Evaluate different technical approaches and contribute to design decisions based on scalability, reliability, and user requirements. • Contribute across development, testing, deployment, and post-deployment monitoring. • Identify opportunities to automate workflows and improve the efficiency of internal processes. • Collaborate with engineers and users to build scalable, efficient, and maintainable solutions. Requirements • Pursuing an engineering degree in Computer Science or a related technical discipline. • Experience with Python web development, preferably using Django. • Knowledge of front-end technologies including HTML, JavaScript, and frameworks such as React or Angular. • Experience with scripting using Shell, Perl, and/or Python. • Familiarity with Linux/Unix-based operating systems. • Understanding of AWS services such as ELB, Lambda, EC2, and Route 53. • Good understanding of operating systems and system design fundamentals. • Ability to work effectively across multiple priorities in a fast-paced environment. • Strong analytical and problem-solving skills with a willingness to learn new technologies. • Strong written and verbal communication skills. • Knowledge of financial markets or the financial industry is advantageous but not required.