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The Quant Research Division

At the Quant Research Division, we offer a range of activities including workshops, lectures, case studies, and competitions, all designed to sharpen our members' analytical skills and deepen their understanding of the financial markets. Our members have access to a wealth of resources and support, including guest speakers from the finance industry, mentorship opportunities, and exclusive networking events.

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Our Division's Mission:

Quant Research

Our research involves empirical asset pricing, algorithmic trading, financial machine learning, and behavioural finance.

Workshops

Career panels with industry experts and workshops on relevant quantitative finance topics to develop our talent to succeed.

Quant/Software Projects

Extensive work on industry-quality algorithms/software for a variety of uses like alpha generation or backtesting.

Factor Research Competitions

Yearly quantitative finance inspired competitions are hosted to competitively develop talent at UofT.

Highlights

The Quantitative Research Division is part of team with history dating back to 2019. We are partnered with groups like TradingView and polygon.io.

Quant Projects

Project Alpha Core in algorithmic trading and Rotman Alpha Bridge Fintech which include features like historical market simulation and market timing back-testing with cross-validation.

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outreach@stgeorgecapital.ca

27 King's College Circle 

Toronto, Canada

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