Walleye Capital
Seouk Jun Kim is an Associate Quantitative Researcher at Walleye Capital, having previously held the position of Quantitative Researcher Intern at the same company. Kim's background includes experience as a Data Engineer Intern at Amazon and a Junior Data Scientist at Team Snowball, where machine learning models were developed for prediction in the esports industry. Additional experience includes a role as a Software Engineer at Latida Global, where a multilayer perceptron model was created for predicting banana commodity prices, and extensive software development work at Columbia Daily Spectator and Hanwha Group. Kim served as an Infantry Soldier and Sergeant in the Republic of Korea Army. Educational qualifications include a degree from Columbia University and attendance at The Hotchkiss School.
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Walleye Capital
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Walleye Capital is an established, technology-driven investment advisor headquartered in Minnesota. The firm manages $2.7B of investor capital predominantly through two core multi-strategy hedge funds. They seek to build talent density across all areas of our business and provide our team with world-class resources for optimal results.