Associate Professor In Quantitative Methods For Finance
Montreal, Quebec, Canada
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Summary
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Senior
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David Ardia is an associate professor in quantitative methods for finance with 15 years of experience bridging academic research and practical risk systems. Based in Montreal, he leads the PhD program in Financial Engineering, teaches machine learning and statistical methods, and holds a named professorship in Sentometrics. His background spans hedge-fund quantitative development—building risk platforms and alpha-generation tools used in daily trading—to award-winning pedagogy across multiple universities. He blends rigorous PhD-level expertise in financial econometrics and computational statistics with hands-on implementation experience from industry roles at Aeris Capital and advisory work with Sentometrics. Colleagues know him for translating text-based signals into tradable insights and for seeding interdisciplinary programs like Fin-ML. Beyond teaching and research, he has a track record of turning complex models into production-ready tools that inform investment decisions.
15 years of coding experience
10 years of employment as a software developer
Master of Advanced Studies in Finance, Financial Mathematics, highest honors, Master of Advanced Studies in Finance, Financial Mathematics, highest honors at Eidgenössische Technische Hochschule Zürich
Functions for the construction of risk-based portfolios
Contributions:1 release, 73 commits, 3 PRs in 5 years
financeriskportfoliosrisk-management
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David Ardia - Associate Professor In Quantitative Methods For Finance