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.
Registrations are now open for the May 13 to 17, 2019 Fin-ML/IVADO Workshop.This edition will be held in English and will be exceptionally open to Fin-ML CREATE students and non-IVADO members.
The 2019-2020 Call for Applications for the CREATE Program on Machine Learning in Quantitative Finance and Business Analytics are now open! The deadline has been extended to Wednesday, May 15 at 12:00am EST. However, priority will be given to applications received before the May 1st deadline.
Join us on Thursday 16 May at 5:30PM at HEC Montréal as we welcome Jessica Li Guild, Ph.D., Director, Head of Digital Transformation Office, Société Générale's Compliance Americas to present: Advanced Analytics and Machine Learning Techniques in Société Générale's Compliance Program.
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.
We offer several activities (workshops, conferences, seminars, etc..) geared towards finance students and professionals seeking to understand and implement innovative machine learning techniques.
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.
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.