Matthew Park has a total of four work experiences. Matthew'smost recent role is as a Quantitative Developer at Kbit, starting in February 2021. Before that, they worked as a Quantitative Trader at Galaxy Digital from August 2020 to January 2021. Matthew also had an internship as a Data Science Intern at Bank of America from June 2020 to August 2020. Matthew'searliest work experience was as a Quantitative Trading Intern at Galaxy Digital from June 2018 to May 2020.
Matthew Park completed their education at various institutions. Matthew obtained a Master of Science (MS) degree in Applied Mathematics from Columbia University in the year 2023. Prior to that, they earned a Bachelor's of Science degree in Applied Mathematics from the same university between 2017 and 2022. Matthew Park completed their high school education at Bergen County Academies, where they obtained their high school diploma from 2013 to 2017. No specific field of study is provided for their high school education.
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Kbit
We trade millions of dollars of cryptos every hour, 24/7, via a globally distributed computational platform. We're applying software engineering, data engineering, and financial engineering to crypto trading. Our trading is systematic, quantitative, and automated. Using our proprietary technology platform we perform research,opportunity identification, market and counterparty risk management, and trade execution. Our strategies include market making, directional forecasting, and arbitrage.We take a scientific approach in identifying and capturing trading opportunities. We hypothesize, research, confirm, implement. And we've proven the ability to make profits in up and down markets.While you read this, we did several trades of several different cryptoassets on exchanges in several different countries.
