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.
How can Data Science help in the fight against COVID-19?
As the world watches unprecedented times, we are hoping to come together, and offer our support by connecting ideas. We know we have a strong community of data-driven multidisciplinary individuals, and we’d like to see how we can mobilize all this talent for a good cause.
We’d like to call on students, researchers, or professionals, and entrepreneurs, to send us a one-page project proposal of how data science can help in this pandemic, with a focus on the economic, financial and business-related impact of COVID-19 spread. Applications where data-driven solutions can contribute are multiple:
- Identifying, tracking and forecasting the outbreak,
- Testing and diagnosing,
- Developing a cure or a vaccine,
- Impacts on financial markets,
- Economic decisions taken by governments or financial institutions,
- Stress testing scenarios and predictions,
- Responsible investments,
- Processing healthcare claims, and more...
What we will do:
- Post your proposal on our website and invite our network, from research centers to small and large companies to take a look, and raise a hand if interested to participate,
- We will look to create matches this way, and put you in touch with the right resources,
- We will also look into financing structures that can help advance your project.
If you can help, we’d love to hear your proposal, please send it to email@example.com, including a step-by-step timeline, resources needed, and your contact details. We will be hoping to connect people to keep these projects alive, and to mobilize the skill sets our community has to offer, by small or large projects, everything counts!
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.