Jielun Zhang is an experienced quantitative trader currently working at Kronos Research since 2024, specializing in mid-high frequency trading. Prior to this position, Jielun served as a Senior Quantitative Researcher at Time Research from June 2023 to June 2024, effectively managing a multi-million-dollar trading book and developing a high-performance research framework utilizing Rust for enhanced computational efficiency. Between August 2021 and June 2023, Jielun held a similar role at 广州海浦投资有限公司, where an order execution system leveraging deep learning was developed, along with a high-frequency alpha strategy that improved execution efficiency. Earlier experience includes a role as a Quantitative Researcher at Quant360 from November 2019 to August 2021, focused on designing algorithms to outperformance VWAP and TWAP. Jielun holds a Master’s degree in Accounting and Finance from the University of Exeter, completed in 2019.
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