Fiona Chin is an experienced Algorithmic Quant Strategist at RBC Capital Markets since August 2017, specializing in the development and maintenance of a global multi-asset algorithmic trading platform using Java. Prior roles at RBC include Algorithmic Trading Analyst, where Fiona optimized execution strategies and enhanced trading platforms with C#. Early career experiences encompass positions as a Computer Lab Operator at Cornell Information Technology and an Algorithmic Trading Summer Analyst at RBC, where Fiona conducted research on equity trading metrics. Additionally, a Data Scientist Intern role at Analytics Media Group involved using Python, R, and SQL for data processing, while a Software Developer position at Tunetap focused on web development. Fiona holds a Bachelor of Science in Information Science and Applied Economics & Management from Cornell University.
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