Transforming the future of financial services
Interest in financial technology is exploding around the world. The societal demand for timely, impactful Fintech research output and graduates to serve the evolving financial services industry is growing. The dynamic world of finance requires highly skilled personnel with strengths in:
- Applications of machine learning, predictive analytics in finance
- Modern practical optimization techniques for asset allocation, portfolio management, and rebalancing
- Efficient computational techniques for evaluating and hedging complex portfolios of financial instruments. Includes new methods to efficiently compute first and second order sensitivities
- Techniques for high-frequency trading including transaction cost analysis and single asset and portfolio strategies
- Emerging technologies (e.g., blockchain)
- July 24, 2018
The Faculty of Mathematics is pleased to announce that PRMIA has just granted the University of Waterloo’s Financial Analysis and Risk Management (FARM) Program (Risk Management Specialization) University Risk Accreditation Program status.
- May 16, 2018
Over 100 undergraduate and graduate students gathered in Mathematics 3 early Saturday morning to tackle large datasets at The Data Open, a competition that brings together the best minds in mathematics, engineering, science and technology to collaborate and compete using the world’s most important data sets. Students received the data sets at 8:00 a.m. and, in teams of three to four, had until 3:30 p.m. to analyze the data, extract meaningful insights, and propose solutions to a socially impactful problem.
- Mar. 5, 2018
A team of four Waterloo students took first prize in the first Citadel and Citadel Securities Data Open datathon competition of 2018. The event drew 80 competitors from Waterloo, University of Toronto and University of Montreal. The winning team, including the Faculty of Mathematics’ Richard Wu, will compete in the championship against approximately 20 other teams later this year.
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