Fiona Chin

Algorithmic Quant Strategist at RBC Capital Markets

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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