Lisa (Qiuyue) Wu

Lisa (Qiuyue) Wu

Business Intelligence Analyst @ Russell Investments

About Lisa (Qiuyue) Wu

Lisa (Qiuyue) Wu is a Business Intelligence Analyst with a strong academic background in mathematics and financial modeling. She has worked at Russell Investments in Toronto, Canada, since 2016 and holds a Master of Science from The University of Western Ontario.

Work at Russell Investments

Lisa Wu has been employed at Russell Investments since 2016, serving as a Business Intelligence Analyst. In this role, she focuses on leveraging data analytics to support investment strategies and decision-making processes. Her work contributes to the firm's efforts in enhancing operational efficiency and optimizing investment outcomes for clients. Based in the Toronto, Canada Area, she collaborates with various teams to analyze market trends and provide insights that inform business strategies.

Education and Expertise

Lisa Wu holds a Master of Science (M.S.) in Applied Mathematics - Financial Modelling from The University of Western Ontario, where she studied from 2013 to 2014. Prior to that, she earned a Bachelor of Science (B.S.) in Mathematics and Applied Mathematics from Shanghai Jiao Tong University, completing her degree from 2009 to 2013. Additionally, she was a visiting student at The University of Western Ontario from 2012 to 2013, furthering her expertise in applied mathematics.

Background

Lisa Wu's academic journey began at Shanghai Jiao Tong University, where she developed a strong foundation in mathematics and applied mathematics. Her pursuit of advanced studies led her to The University of Western Ontario, where she specialized in financial modelling. This educational background has equipped her with the analytical skills necessary for her current role in business intelligence.

Professional Experience

Since joining Russell Investments in 2016, Lisa Wu has accumulated significant experience in the field of business intelligence. Her analytical skills and educational background in applied mathematics have enabled her to effectively analyze complex data sets and derive actionable insights. Over her eight years at the firm, she has contributed to various projects aimed at improving investment strategies and enhancing data-driven decision-making.

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