Optiver is looking for Quantitative Developer Interns to join their High-Frequency Trading (HFT) team to design, improve, and execute fully automated trading strategies using machine learning, contributing to the development of high-quality software for trading problems and improving system performance, reliability, and scalability.
Requirements
- Proficient in coding languages such as C++, Python, or Java
- A student with strong engineering instincts and a solid understanding of computer science fundamentals
Responsibilities
- design, improve and execute fully automated trading strategies using machine learning
- work on complex technical projects
- help shape the direction of our trading infrastructure
- work closely with teams to share knowledge and drive technical progress
- build high-quality software from scratch that’s designed to last
- contribute to meaningful projects solving trading problems and improving the performance, reliability, and scalability of our systems
- see your code hit production in real time
Other
- A student pursuing a bachelor’s, master’s, or PhD in Computer Science or Computer Engineering
- On track to graduate between December 2026 to June 2027, with junior standing or higher
- Passionate for writing clean code, well-architected systems, and continuous improvement
- Driven by an entrepreneurial mindset and curious about how tech powers the financial industry
- A natural problem-solver with a sharp, analytical approach to tackling challenges
- A collaborative teammate comfortable working with developers, traders and business teams
- The opportunity to earn a full-time offer in Chicago, Austin, or New York City based on performance
