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.
Company Details
Fin-Ml Questions
Fin-Ml's website is fin-ml.ca
Fin-Ml's LinkedIn profile is https://ca.linkedin.com/company/fin-ml
Fin-Ml has
23 employees.
View email and phone details for 23
employees at Fin-Ml.
Fin-Ml's industry is
Higher Education
Fin-Ml's top competitors are
Jacobb - Centre D’intelligence Artificielle Appliquée,
Ivado,
Quantolio,
Deloitte,
Croesus,
Kpmg Canada,
Bnp Paribas Cib,
Kids A.i.,
Talent Performer,
Psp Investments | Investissements Psp.
Fin-Ml's categories are Higher Education
Fin-Ml's founding year is 2018
