Who actually teaches here?
If you’re expecting a faculty roster of academic theorists, you may be
disappointed. Most of our contributors hold technical roles outside the
classroom, including risk modelling leads, quantitative analytics managers, and
data science consultants. They don’t just teach—they audit, build, and critique
volatility models for a living.
Faculty backgrounds stretch from global banks and regional analytics firms to leading Canadian consultancies. Many have published on model risk, peer review in machine learning, and the limits of algorithmic forecasting. Their mandate: to challenge consensus, expose overconfidence, and keep the focus on what the data actually shows.
Browse the full list of profiles for concrete expertise—not just credentials.
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