Morgan Kidd is an accomplished data scientist and quantitative analyst with extensive experience in wealth management, quantitative research, and data-driven decision-making. Previous roles include serving as a Wealth Management Associate at RBC Dominion Securities, where Morgan managed client relationships and enhanced portfolio measurements, and as a Quantitative Analyst at bcIMC, providing analytical support for a multimillion-dollar portfolio. Morgan has also held positions as a Quantitative Researcher at Walleye Capital, optimizing algorithmic trading models, and as a Data Scientist at Lyft, focusing on price optimization and data infrastructure improvements. Currently, Morgan is a Data Scientist at Meta, working within the monetization ecosystem. Educational qualifications include a Master's degree in Financial Engineering from the University of California, Berkeley, and a Bachelor of Science in Financial Mathematics & Economics from the University of Victoria, complemented by studies in Statistics & Economics at Yonsei University and Quantitative Finance at the University of Waterloo.
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