Suggestions
Vlad Kaganovsky
Ex-Jump Crypto, Ex-Jump Trading
Vlad Kaganovsky is a skilled quantitative finance professional with a strong entrepreneurial mindset.
He possesses a deep understanding of financial markets and quantitative trading strategies, gained through his experience at a prominent high-frequency trading firm.
With a background in business development and relationship management from the digital asset space, he excels at collaborating across teams.
Vlad is currently pursuing further expertise in machine learning and statistical methods through the Financial Mathematics program at the University of Chicago.
His educational background includes a Master's degree in Financial Mathematics from the University of Chicago and a Bachelor of Arts in Mathematics from Northwestern University.
He has previously worked at Garden Leave, Jump Crypto, and Jump Trading Group in quantitative trading roles.
