Latency-Driven Execution Researcher (Python, Time-Series)

A top-tier quantitative investment firm in Hong Kong is seeking a Low Latency Execution Researcher to optimize exchange connectivity for high-frequency trading. This role involves Python-based time-series analysis, network investigation, and hands-on experimentation to enhance execution performance. Candidates should have a degree in Computer Science or a related field, strong Python skills, and experience in low-level systems and network engineering. This position offers a collaborative environment with trading and quant research teams, focusing on performance optimization.

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