Lead the development of a greenfield high-frequency trading platform, ensuring high availability and low latency. Optimize performance and handle system architecture decisions while collaborating with research and trading teams.

Lead and develop execution algorithms across exchange-traded financial products, focusing on improving trading strategies, analyzing trading costs, and overseeing a team of quantitative developers. Design experiments to enhance algorithm performance and ensure robustness in trading practices across various asset classes.

Join our team as a Quantitative Developer to play a crucial role in developing and maintaining a platform for trading strategies. Collaborate with Quantitative Researchers to implement and optimize strategies and ensure system integrity. Stay updated with industry trends and technologies. Must have 3+ years of relevant experience and a Bachelor's degree in Computer Science or related field. Proficiency in Python, Conda, Pandas, and Linux is required. Strong communication skills and knowledge of testing methodologies are essential. Familiarity with Java, data analysis, and database systems is a plus.