ALBERT LEE
adl1vh@r.postjobfree.com 510-***-**** linkedin.com/in/albertlee0622es
EDUCATION
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Master of Science in Computer Science, admitted student NEW YORK UNIVERSITY TANDON SCHOOL OF ENGINEERING
Master of Science in Financial Engineering, 3.85/4.0 GPA BOSTON UNIVERSITY QUESTROM SCHOOL OF BUSINESS
Bachelor of Science in Business Administration and Management, magna cum laude CHAMPAIGN, IL
EXPECTED: DEC 2022
BROOKLYN, NY
EXPECTED: MAY 2021
BOSTON, MA
SEPT 2014
PROFESSIONAL EXPERIENCE
NEW YORK UNIVERSITY TANDON SCHOOL OF ENGINEERING
Graduate Teaching Assistant
BROOKLYN, NY
SEPT 2020 – DEC 2020
Grade students’ projects for the course Econometrics and Time Series Analysis (FRE-GY6351) GRIFFISS INSTITUTE
Research Intern, Air Force Research Laboratory
ROME, NY (remote)
JUNE 2020 – DEC 2020
Implemented Neural Ordinary Differential Equations in Python based on award-winning research papers
Produced reports to share Python codes and references in adversarial machine learning with future interns VATECH AMERICA, INC.
Inventory Analyst
FORT LEE, NJ
APR 2015 – JAN 2018
Determined optimal level of on-hand inventory by collecting data and building regression models
Reconciled invoices, credit memos, and inventory records for periodic accounting reports
Contributed to the high-level design of the customer relationship management database system
Supervised team members and warehouse employees to maintain the customer service objectives
Set dealer/retail prices for parts based on markup pricing and price benchmarking ACADEMIC PROJECTS
Multi-Factor Trading Model Full Stack Application
Capstone Project, NYU Tandon School of Engineering (Python, HTML, CSS, JavaScript)
Built a trading platform using Flask for a client to introduce the multi-factor trading model, manually place orders to the market server, and perform algorithmic trading for 20 trading days
Constructed SQL database using SQLAlchemy to store historical stock price data and trading results
Developed a multi-factor trading model based on modern portfolio theory and quadratic optimization The Impact of Earnings Announcements on Stock Prices Team Project, Financial Computing, NYU Tandon School of Engineering (C++)
Implemented algorithms using C++ libcurl to retrieve historical stock data from Yahoo Finance
Developed algorithms to categorize stock symbols into groups based on quarterly earnings surprises and to perform a Monte Carlo simulation to approximate the average abnormal returns for each group
Implemented a method to plot average abnormal returns for each group using Gnuplot for analysis Time Series Analysis on Pair Trading Model
Team Project, Econometrics and Time Series Analysis, NYU Tandon School of Engineering (Python)
Implemented algorithms to select co-integrable pairs of stocks from the stock universe for a pair trading strategy SKILLS
Technical Training: Python, C++, SQL, MS Excel, C#, Visual Basic, R, Apache Spark, HTML, CSS, JavaScript Actuarial Exams (SOA): Probability, Financial Mathematics, Investment and Financial Markets Languages: English (fluent), Korean (fluent)