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.
CALL FOR STUDENTS AND PROFESSORS
More than an Industrial Problems Solving Workshop!
Dear students, postdoctoral fellows and professors,
The 11th Montreal Industrial Problem Solving Workshop (IPSW) organized by the CRM and IVADO will be held virtually from August 23 to 27, 2021 (possibility of an in-person activities in Montreal if public health conditions permit). More than a workshop, it will also be an opportunity to train in data visualization and science popularization, to network and to showcase your expertise! In addition, up to 2000$ in prizes will be awarded.
Participation in this workshop is open to undergraduate and graduate students, postdoctoral fellows, academic and professional researchers, and professors. We invite you to consult the problem descriptions submitted by Air Canada, National Bank of Canada, COVEO, Environment & Climate Change Canada, IATA, Société Générale and TD Canada Trust.
Register for free by August 9 to maximize your chances of being part of the team that is working on the problem that interests you most! We will verify your eligibility and email you the final registration link.
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.
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.
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.
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.