The Fin-ML network aims to become a Canadian reference for acquiring specialized skills in the field of innovative machine learning technology in quantitative finance and financial business analytics. 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:
- 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.
- 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, locally or internationally.
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.

AI/ML

Finance

FinTech

Research

Fin-ML

Fin-ML's headquarters in Montreal, Canada

Description

People (11)

Tiguéné L.n. Nabassaga

Ismael Assani

Catherine Paradis-Therrien

Gita Gonoody

Timur Shomansurov

Benjamin Reeves

Amine El Kaouachi

Mohamed Gueye

Stanley Tran

François Guay

Alexandre Nguyen

Jobs