Emil Tu

Student at Villanova University

About Me

I’m a sophomore at Villanova currently looking for a summer internship in the financial industry.

My skills include the following:

  • Financial - Financial modeling (DCF/LBO), Bloomberg Market Concepts Certified
  • Technical - Python, Microsoft Office, Tableau, @Risk, Tensorflow
  • Language - English (Native), Mandarin (Fluent), French (Conversational)


Villanova University

Bachelors of Business Administration

August 2019 - May 2023

  • Major: Applied Quantitative Finance
  • GPA: 4.0
  • ACT: 35


Tourism Economics

Incoming Intern

Delayed to Fall 2020 due to COVID-19

Office of Assembly Member Rob Bonta


Summer 2017 and 2018

  • Led intern efforts to analyze and respond to over 20,000 constituent opinions
  • Researched and presented on bills and ballots initiatives in the California Legislature
  • Communicated with local community leaders and nonprofit organizations


Villanova Equity Society

Shadowing Analyst (Communications Sector)

August 2019 - Present

  • Student-managed investment fund with over one million dollars in AUM
  • Researched potential and existing investment opportunities using DCF models
  • Actively contributed to regular discussions with senior portfolio managers

Villanova Mergers & Acquisitions Society


August 2019 - Present

  • Participated in internal case competition and evaluated potential merger with a team
  • Active in weekly workshops covering various valuation techniques and fundamentals
  • Engaged with industry professionals and alumni at networking events


Jane Street Electronic Trading Challenge


July 2020

  • Achieved highest profit in simulated trading against undergraduates across the country
  • Implemented strategy using arbitrage on stocks, ETFs, bonds and ADRs
  • Developed trade execution and management system in C++

Villanova Global Accounting Firms Case Competition


April 2020

  • Researched technology-driven solutions to simulated business challenges
  • Proposal was chosen for finalist presentations by partners at Big 4 firms
  • Pitched and explained solutions to a panel of judges

Villanova Data Mining Competition

First Place

February 2020

  • Achieved the most accurate detection of warm leads based on 28 demographic factors
  • Trained ensemble of neural networks and decision trees in Python
  • Performed data normalization and feature engineering to maximize accuracy