Jun is a student at Columbia University pursuing a Bachelor of Arts in Data Science. His academic background spans quantitative analysis, statistical modeling, and computer science, providing a strong analytical foundation that he applies to his work in investment banking. 

 

Having studied across three continents, Jun brings a distinctly global perspective to his work and is particularly drawn to how cross-border capital flows, macroeconomic trends, and evolving market structures shape transaction opportunities across international markets. His diverse academic and cultural experiences have deepened his understanding of global finance and sharpened his ability to navigate complex cross-cultural environments.

 

Jun pivoted from computer science to data science to capital markets and is drawn to the analytical core of deal-making and the strategic thinking that drives it. He believes the next generation of investment bankers will be defined as much by their quantitative fluency as their financial expertise, and he is building toward that intersection deliberately.

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