Fin-ML Overview
- Headquarters
- Montreal, Quebec, Ca
- Website
- fin-ml.ca
- Industry
- Higher Education
- Employees
- 23
- Founded
- 2018
- NAICS
-
Colleges, Universities, and Professional Schools
About Fin-ML
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.
Fin-ML Contact Details
- People in AeroLeads
- 4
- With contact data
- 2
- Email contacts
- 2
- 50.0% coverage
Fin-ML Org Chart
Sample employees and titles| Name | Title | Location | Contact |
|---|---|---|---|
| Stanley Tran | Actuarial and Data Science Manager |
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| François Guay, Ph.d. | Deputy Head, Risk Independent Review | Montreal, Quebec, Canada |
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| Catherine Paradis-Therrien | Avp, Product Analytics at Td |
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| Timur Shomansurov | COO Americas & Gm Canada @ Paysend | Montreal, Quebec, Canada |
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Employees by Management Level
Individual contributor
9 profiles
Executive
1 profile
Manager
1 profile
Fin-ML Tech Stack
Data / AI
7 profiles
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