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You will improve our trading results using insights driven by data. You’ll work closely with the development, research, and trading teams. You will develop hypotheses and test them experimentally. You’ll direct engineering efforts and build tools & metrics to monitor and optimize our low-latency trading strategies. You’ll work with cutting-edge hardware and terabytes of data. You’ll reverse engineer systems to understand how to improve our trading success. In short, you’ll be responsible for defining and driving improvements to our trading through technology.
Job Responsibility:
Improve our trading results using insights driven by data
Work closely with the development, research, and trading teams
Develop hypotheses and test them experimentally
Direct engineering efforts and build tools & metrics to monitor and optimize our low-latency trading strategies
Work with cutting-edge hardware and terabytes of data
Reverse engineer systems to understand how to improve our trading success
Define and drive improvements to our trading through technology
Requirements:
Students who are graduating in 2025 or 2026
Studying a Computer Science, Mathematics, Engineering or similarly technical degree
Strong research skills with a scientific mindset and a passion for solving real-world problems with data
Proficient in Python for data analysis and prototyping
Experience applying machine learning or statistical modeling techniques to complex systems or noisy data
Excellent critical thinking and attention to detail
Effective communicator who can challenge ideas constructively, explain reasoning clearly, and collaborate across teams