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Radixuniversity in Chicago is looking for a Quantitative Technologist to improve trading systems and research infrastructure through innovative technology. Key responsibilities include coding in C++, automating strategies, and analyzing large datasets to enhance processes.
The ideal candidate will possess a strong mindset for creative problem-solving and collaboration. The firm offers competitive salaries and quarterly bonuses based on performance and contribution to team success.
As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation.
We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.
We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months.
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.