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Hello and Welcome!

 

I am a recent grad of the University of Toronto.  My passion lies in quantitative finance, the intersection of mathematics, statistics, finance, and computer science.  Currently, I am a quantitative trader working at RBC Capital Markets with a focus on building the Electronic Market Making business. During my spare time, I love to read, travel, go to the gym, play the piano, and experience events that bring me fresh perspectives and ideas! 

 

 

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Thomas Luo

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Quantitative Trader at RBC Capital Markets
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WORK EXPERIENCE
EXPERIENCE
Aug. 2019 - Present

  Quantitative Trader 

RBC Capital Markets

  • Equity Electronic Market Making

    • Researching on various AI-based models to provide more systematic liquidity for clients 

Jan. 2018 -Jul. 2019

  Quantitative Trading Analyst

RBC Capital Markets

  • Quantitative research projects with the goal of better equity execution for clients

    • Idea generation and quantitative modeling behind the hedging execution framework

    • Preferred Equities Market Making System

      • Learned every aspect of developing a quantitative trading system 

May. 2017 -Aug. 2017

  Quantitative Research Intern

SWS Securities

  • Research focused on mutual fund selection strategies

  • Built three statistical models in Python to analyze Chinese mutual fund return data

    • four-factor time series regression model

    • discrete, time-homogeneous Markov chain model 

    • Bernoulli process model 

  • Assisted Senior Analysts by optimizing the data collection and data cleaning process in Python using principle of OOP​

Nov.2016 - Feb. 2017

Data Science Volunteer Intern

IBM Big Data University

  • Content Developer for "Data Analysis with R"

  • Designed and edited Jupyter Notebooks to explain fundamental concepts in data analysis using R (Time Series, Importing Data, Data Cleaning)

EDUCATION
EDUCATION

University of Toronto

B.S. Mathematical Applications in Economics and Finance Specialist; Statistics Major; Computer Science Minor

 

Cumulative GPA: 3.75/4.00

 

Notable Coursework: 

  • Stochastic Process (100%) 

  • Partial Differential Equations (100%) 

  • Foundation of Real Analysis (theoretical) 

2014 - 2020

Bachelor's Degree

LEADERSHIP AND EXTRACURRICULAR ACTIVITIES
SKILLS
CLIENTS
SKILLS
Sept. 2017 - Dec. 2017

Initiator, team of four students

Sept. 2017 - May. 2018

Student Project Volunteer Assistant

U of T Quantitative Research Team 

Continuation of research on mutual fund selection strategies​

RiskLab

Expected to learn about risk management and work with students and professors to promote the mathematical finance graduate program at U of T

 

Feb. 2017 - Apr. 2017

Member of Getting Started Team

Data Science Toronto

Gained exposure to various machine learning models and data science

Jan. 2017 - Apr. 2017

Statistical Science Peer Mentor

Univerity of Toronto Statistics Department

Mentored five first-year international students by hosting bi-weekly mentor sessions and attending school events with them

Sept. 2016 - Apr. 2017

Pre-Analyst Program

Sept. 2016 - Present

Treasurer

Imperium Asset Management​

Completed a fundamental analysis research report on Second Cup Coffee CO; Analyzed the company by studying its annual reports and financial statements; Evaluated its business model, management, competitors and business risks

Amateur Astronomers' Society

Assisted in event planning and club advertising â€‹

In charge of club financials and funding applications

 

Sept. 2012 - July. 2014

Pianist

Faith Lutheran Church

Lead a congregation of about 100 people each week with music

 

SKILLS

Python - Advanced (Pandas, OOP,

PyTorch)

R - GGPLOT masta

Microsoft Office - Proficient

KDB

Wind Financial Terminal - Proficient

Stata - Beginner (Regression)

SQL

English and Chinese - Native

MATLAB 

EXPERTISE
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