My name is Viktor and I am professional involved in the quantitative finance industry.
I completed my Master's of Science Computer Science at Georgia Institute of Technology. I am also a graduate of the Univeristy of Waterloo, where
I completed my Bachelor's of Mathematics, Honours Computer Science.
I am heavily involved with amateur rugby and my local rugby club, having played rugby during high school as well as varsity at university. My other personal interests
include personal finance and living an active lifestyle. I also love all things related to watches and horology.
(You can reach me at: contact (at) viktorzhou (d0t) com)
Quantitative C++ development for the ETF market making desk.
C++ development for in-house intraday risks management platform for treasuries and swaps traders.
Contributed to development of the new core calculation engine in C++.
Developed portfolio functionality in C++ for risk and portfolio management.
Core Courses: | Elective Courses: |
---|---|
CS6515: Introduction to Graduate Algorithms | CS8803-O13: Quantum Computing |
CS6210: Advanced Operating Systems | CS6200: Graduate Introduction to Operating Systems​ |
CS6290: High-Performance Computer Architecture | CSE6220: High-Performance Computing |
Free Elective Courses: |
---|
CS7643: Deep Learning |
CS7646: Machine Learning for Trading |
ISYE 6644: Simulation and Modelling |
ISYE6501: Intro to Analytics Modelling |
At the University of Waterloo, during my undergraduate program, I was actively involved
with the athletic department. Throughout my degree, I was rostered on the
Varsity Men's Rugby team for all four years.
Alongside playing rugby, I was also
a Computer Science Tutor for the Athletics Department, helping fellow varsity
athletes with computer science and math courses. The courses that I tutored were:
Object-Oriented Software Development (CS246), Data Structure (CS240), Algebra
(MATH135), Calculus I (MATH136) .
Core courses: | Elective Courses: |
---|---|
CS350: Operating Systems | CS456: Computer Networks |
CS341: Algorithms | CS486: Intro to Artificial Intelligence |
CS371: Intro to Computational Math | CS454: Distributed Systems |
CS360: Intro to Theory of Computing | CS349: User Interface |
QuantLib is a free/open-source cross-platform library for quantitative finance, primarily developed in modern C++.
I have contributed by fixing open-issues, implementing test cases and commiting pull-requests.
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An international, live, four hour coding competition consisting of one NP-hard problem. Our team tried a variety of solutions including Monte Carlo (random algorithm) simualtions and different greedy scheduling aglorithms.
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International Ranking: 2288/10724|Canadian Ranking: 40th