About Me

I'm Korean, raised in Cross River, New York and Yongin, Korea. I am fond of the near future, where everyone can follow one's passion with the help of A.I. I want to bring the future closer to our lives. Unlike academia, I find algorithms that work in the equities market using Machine Learning. In my spare time, I code for fun and blog about programming, investment opportunities, and security vulnerability. I love playing soccer and fan of EPL. Go Man City!

Contact Details

Scott Hyuk-Kyu Lee
+1-404-913-9686
hyukkyulee@alumni.emory.edu

Online Community

github
Tech Blog
stackoverflow

Download Resume

Education

Emory University

Bachelor's in Computer Science and Mathematics • 2017

Double Major in Computer Science and Mathematics
Dean’s List (Fall 2011)
Pi Sigma Alpha (Fall 2011 – Spring 2012)

Korea Accounting and Information School

Pre-Certified Public Accountant • 2016

Independently obtained pre-requisite credentials for Public Accountant exam.

Experience

Union Square Securities

Head of Research • April 2019 – Oct 2023

  • Allocated client's wealth based on collected alternative data
  • Built and constantly updated internal Python library for market simulation(backtesting) - decreased execution time 40% for each simulation
  • Developed Kimchi Premium Bot and cryptocurrency price recorder, which detects and trades cryptocurrency arbitrages in the US and Korean markets
  • Reviewed financial machine learning papers and consulted authors to produce better research result - increased one of the research result by 15%
  • Developed real-estate investment assistant which uses alternative data and detects abnormal activities to assist discretionary investing.
  • As of October 2023, management has exceeded the targeted profit

    • Chimera Securities

    Proprietary Equities Trader • Feb 2019 – April 2019

  • Developed an 'A.I. Trader Assistant' in collaboration with senior traders (Based work in Jupyter)
  • Consulted Senior traders how to automate their trades - one trader P/L ratio increased by 5%
  • Changed antiquated hand scraping by implementing a simple IPO and Earning web scrapers using Python - saved an hour per trader each day

    • SimFin

    Software Development Contributor • June 2018 – Dec 2018

  • Successfully updated the internal F/S data scraper Python library by adding anonymous feature - using a combination of Tor, VPNs, and user agents, connection drops completely stopped (Based work)
  • Updated development environment for newcomers by implementing docker - received good feedbacks from new employees

    • Trading

    Self-employed Korean Equities Trader • April 2016 – Dec 2016

  • Collected and converted financial data into alternative data set, free floats to volume ratio, when instituitons did not provide the data at the time

    • Samsung Life Insurance

    Technical Consultant(Intern) • May 2011 – July 2011

  • Assisted in updating statistical-based software, which suggests optimal coverage plans for small to mid-size clients to maintain low estate costs
  • Corresponded and successfully maintained client relationships for provided insurance coverage

    • Skills

    I mainly code in Python for Machine Learning using scikit-learn, keras, numpy, pandas, and matplotlib. I have basic knowledge of C, C++, C#, Java, Flutter, Laravel(PHP), R, HTML, CSS, Javascript, jQuery, Node.js, ReactJS, Redux, VueJS, TailwindCSS, SQL, and MongoDB. I work in Agile Environment. I can work in the States and Korea without any Visa Problem (Perminent Resident).

    • Python
    • Flutter(Dart), Laravel(PHP), C#
    • Node.js, React.JS, Redux, Tailwind CSS, Vue JS, jQuery
    • SQL, Mongo DB

    License

    FINRA Series 57