MCGILL QUANTITATIVE RESEARCH CLUB
Providing students with practical quant research experience and meaningful industry exposure.
About Us
McGill Quantitative Research is a student-led initiative comprised of McGill’s brightest statistics, math, and computer science students.
Through mentorship and hands-on projects, we prepare members for successful careers in quantitative finance, bridging the gap between academic theory and real-world application.
Our members collaborate on quant research projects, publish their findings, and connect with industry professionals. We are building a community where students advance their skills in algorithmic trading, data science, and risk management.
Research Areas
Our goal is to pursue exploratory projects and showcase our findings in these areas
Algorithmic Trading
Teaching computers to trade better than humans.
In our Algorithmic Trading research area, we explore various strategies, implement machine learning models, and build automated trading systems that can outperform human decision making.
Risk Management
Quantifying and managing risk in decision making.
Our Risk Management area focuses on identifying, quantifying, and mitigating risks. We study advanced statistical techniques and employ models that help in decision making under uncertainty.
Data Science
Using data-driven models to solve real world problems.
The Data Science research area involves building and deploying predictive models, analyzing large datasets, and extracting actionable insights to solve complex, real-world problems.