Quantitative Developer Intern

About the role

Develop and improve trading strategy components, backtesting and simulation frameworks, research tools, and signal pipelines in Rust and Python. Support performance-sensitive trading systems, exchange connectivity, execution analysis, system reliability, and automation of team workflows. Applicants must be pursuing a bachelor's or master's degree in a STEM field, be available at least three days per week, and commit to an internship of at least three months. They should have strong programming fundamentals, Python proficiency, grounding in probability and statistics, and experience with Rust or a willingness to learn it; interest in electronic trading is important.