Responsibilities Design, develop, and enhance algorithmic trading strategies and core systems. Optimize network, hardware, and software performance, continuously enhancing platform architecture. Lead development of quantitative research infrastructure, collaborating with strategy teams on data, backtesting, and strategy development. Manage key technical projects, ensuring on-time delivery and quality. Project management experience is preferred. Keep up with industry tech trends to drive innovation in the trading system. Qualifications Bachelor’s or higher degree in Computer Science, Data Science, Statistics, or a related field.3+ years in quantitative tech, with expertise in high-frequency trading or high-performance computing. Proficient in C++ and Python; strong system-level programming and knowledge of parallel computing. Experience in strategy development, live trading, and understanding market structures. Skilled in Linux, Docker, AWS, and version control (Git). Familiar with crypto trading and quick market response. Strong project management, teamwork, and communication skills. Seniority level Mid-Senior level Employment type Full-time Industries Financial Services Technology Information and Media Investment Management We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
