The financial sector is the second largest source of income in the Canadian economy. Over the last few years, machine learning and advanced quantitative techniques are disrupting our environment. As a result, there is an increase in demand for qualified professionals who know how and where to implement these advanced tools, yet there is still an increasing gap in training and education for professionals in the field or aspiring to enter the field.

News

At our next conference, join jurists and scientists to discuss around compliance and ethical matters in financial services - regarding model explainability, prevention of unfair bias, algorithmic accountability and human-in-the-loop.

AI Governance in Financial Services - October 25th at 2PM

 

Come visit our booth at Forum Fintech on October 22-23!

Canada Fintech Forum, October 22-23

 

 

Fin-ML

By assembling a strong team of internationally renowned researchers across Canada, a remarkable support from major financial institutions, and a notable backing from the Institute for Data Valorization (IVADO) and the Natural Sciences and Engineering Research Council of Canada (NSERC), Fin-ML seeks to form a new generation of finance professionals to meet the modeling and implementation needs of the quantitative spectrum of the Canadian financial industry and contribute to its global competitiveness.

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Training
Activities

We offer several activities (workshops, conferences, seminars, etc..) geared towards finance students and professionals seeking to understand and implement innovative machine learning techniques.

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Three types
of Scholarships

Our NSERC-CREATE Program in Machine Learning in Quantitative Finance and Business Analytics is offered through a competition to students in participating universities across Canada.

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A team
of experts

Our diversified team is composed of researchers with an internationally recognized scientific expertise covering a wide spectrum of fields at the crossroads of mathematics, computer science, artificial intelligence, business analytics and quantitative finance applications.