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.




7th edition : Machine Learning applied to Finance and Insurance - Workshop

Time : May 24th - June 21st 2022, every Tuesday and Thursday, 3:00 PM to 5:00 PM (HAE, UTC-4)

The Fin-ML/IVADO Online Workshop is a practical training in machine learning, applied to concrete problems in investments, banking and insurance. The workshop will focus on theory, as well as problem-solving sessions. Theory and practice with a 20-minute open discussion at the end of each session. Presentation and discussion of practical use cases.
There may be work to complete between the sessions. This online workshop will take place over a 5-week period, starting May 24 until June 21, every Tuesday & Thursday, 3PM – 5PM (2 hours per session).


Twelfth Montreal Industrial Problem Solving Workshop

Time : August 22 to August 26, 2022

The Twelfth Montreal Industrial Problem Solving Workshop (IPSW) will take place "in person" from August 22 to August 26, 2022. It is being organized by the Centre de recherches mathématiques (CRM) and the Institute for Data Valorization (IVADO). IPSWs allow students, postdocs, and professors to study real-world problems for which companies and public or quasi-public organizations need solutions. Participants in the previous workshops have found them to be stimulating experiences. In 2022, institutions in the fields of transportation, energy, finance, and communication have submitted problems whose descriptions are now available on the workshop website.

Please take a look at the workshop web site :


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.


A team
of experts

Our diversified team is composed of researchers, students and professionals 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.



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


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.

Collaborative Research-icon_v2 (2)

Collaborative Research

We aim to conduct and implement innovative and multidisciplinary collaborative research projects, small or large in scale, in order to offer our researchers multiple opportunities for industrial experience.