ZIZHENG (KARY) ZHANG
Email address: **********@*****.*** Phone number: (US) +1-626-***-**** Linkedin: www.linkedin.com/in/karyzhangzzz/
Education
University of Washington, Seattle Graduate: March 2025
Bachelor of Science in Computational Finance and Risk Management (CFRM) GPA: 3.75/4.0
Relevant Coursework: Financial Risk Management, Financial Data Analysis, Portfolio Management, Derivatives
New York University Expected Completion: May 2027
Master of Science in Financial Finance
Topics Covered: Derivatives pricing, quantitative risk management, portfolio optimization in finance, and algorithmic trading.
Skills Gained: Quantitative techniques for modeling, risk management, and data-driven decision-making in financial markets.
Experience
Chang'An International Trust Foshan, China
Investment Assistant Intern August 2024-September 2024
Responsible for organizing financial documents, collecting data, and supporting the preparation of investment reports for senior management.
Collected and organized financial data from various sources to assist in the analysis of investment projects. Inputted and updated financial information in Excel to help track the performance of trust products.
Yingfeng Private Equity Securities Investment Management Foshan, China
Quantitative Research Intern June 2024-August 2024
Collected and organized historical data on the CSI 300 Index using Python and Excel. Conducted basic statistical analysis and visualized data to identify trends and market signals.
Improved the accuracy of the trading models by 8%, leading to more profitable trading signals and enhanced risk-adjusted returns. Contributed to the team’s strategy implementation, which resulted in a 5% increase in portfolio performance for the CSI 300 Index during the internship period.
Core Capital Investment Group Inc City of Industry, CA
Investment Assistant Intern December 2023-January 2024
Gathered and analyzed historical financial data for MARA and BTC using Excel.
Developed a trading correlation coefficient between MARA and BTC, utilizing statistical analysis to identify key trends and patterns.
Energy Innovation Capital (EIC) Remote
Investment Industry Research & Data Analytics Extern June 2024 – August 2024
Conducted comprchensive market rescarch on macro trends, market segments and established players across emerging energyvsectors from reports, articles and paper to gather insights to investment targets
Sourced 10+ startups focusing on Power Analytics and Battery Storage Systems industries utilizing Al tools, evaluated with basic invisemtn criteria and profiled 3 startups with detailed metrics such as company information, product offerings, team information and financial status to better understand promising startups and their potential for growth.
Research Experience
Image Classification with Deep Neural Networks January 2024–Feberary 2024
Researcher
Developed Fully Connected Neural Networks (FCNs) for classifying images in the FashionMNIST dataset, consisting of 60,000 training and 10,000 testing images. Designed a model architecture with adjustable hidden layers and neurons, employing ReLU activation functions.Achieved over 90% testing accuracy on FashionMNIST and over 98% on MNIST through extensive hyperparameter tuning. Adam optimizer with Kaiming initialization provided superior convergence and accuracy compared to other configurations.
JPMorgan Chase Investment Banking Job Simulation on Forage October 2024-November 2024
Identified an ideal M&A target for a client based on an assessment of their strategic and financial criteria.
Constructed a DCF model to calculate the valuation of the M&A target and adjusted the model to account for a competitor bid and supply chain interruption.
Honors and Commendations Skills
Certificate in Quantitative Finance (CQF) Programming Languages: Python, R, MATLAB
UW Purple and Gold scholarship (2021–2024) Language: Mandarin (Native), Cantonese (Native), English (Fluent)