Quant Guide 2022: University of Toronto

Toronto, Ontario, Canada

Photo: University of Toronto

 

 

The University of Toronto’s Master of Mathematical Finance (MMF) remains the highest-ranking Canadian programme represented in Risk.net’s Quant Guide, appearing at 18^th place overall this year. The programme is directed by top quant Luis Seco, who has led the course since 2007.

Besides teaching classes in mathematical finance and data science at Toronto, Seco also lectures on topics such as quantitative investing and risk management at other institutions, including the Technical University of Munich – a Quant Guide rival – and Renmin University of China.

While the Toronto MMF is popular among applicants, it is selective: this year’s intake comprises 28 students, up from 27 in the previous intake. Applications fell slightly, from 446 to 408. The university also issued fewer offers, with just 50 of the 408 hopefuls offered a place on the course.

Graduates can expect competitive starting salaries, with the reported average range this year of U$80,000 to U$90,000. A majority of recent MMF graduates have taken up positions in banking, with smaller proportions entering asset management and consulting. The programme highlights the employment paths taken by its alumni in a series of podcasts available on its website. Speakers include former MMF students who now work at Amazon, TD Asset Management, Scotiabank and others.

The year-long course is split across two semesters, including a winter internship. Classes available include foundational courses in financial products, data science and stochastic analysis, as well as topics such as machine learning, blockchain and operations research.

View this institution’s entry in the 2021 guide

View other universities and a guide to the metrics tables