We are a group of physicists, quants, and analysts who have devised state-of-the-art software for trading with novel techniques to protect the investor against exposure to risk. We develop optimum strategies to mitigate risk and our scientific approach to big data analysis and management provides guidance in today's data-driven market and economy. With our team, tools, models, strategies and premium software we help our clients harness their big data for transformative decision making and investment.

WildRoseHedging was founded by Rachid Ouyed and Dan Cassidy in order to provide analysis and guidance on risk. In addition WildRoseHedging specializes in providing software and consulting for trading, tail-risk hedging and the handling of big data.


Rachid Ouyed President/Chief Executive Officer / Co-Founder

BSc., D.E.A., MSc., PhD.


Rachid Ouyed is a professor of astrophysics at the University of Calgary specializing in computational and high-energy astrophysics with a background in plasma physics and magneto-hydrodynamics. Rachid's teaching focuses on computational physics with applications to the academic and business/real world. Rachid has had many years of experience collaborating with practitioners in finance. Besides consulting, he has published papers on tail-risk and option pricing beyond the Black-Scholes era. Some of his graduate students and post-doctoral fellows took the skills honed through the development of cutting edge algorithms and numerical techniques in physics into the business world and industry (in particular the world of finance) enriching it with novel ideas/approaches. His two most recent PhD students have moved on to join lucrative companies dealing with exciting challenges in finance. Rachid has helped many other students find jobs in finance and assisted others in preparing for interviews and making a smooth transition from academia to the practitioners world.

"No amount of observations of white swans can allow the inference that all swans are white, but the observation of a single black swan is sufficient to refute that conclusion."

David Hume

Dan Cassidy Chief Science Officer (CSO) / Co-Founder

B.Eng., MSc., PhD.


Daniel Cassidy is a Professor of Engineering Physics at McMaster University in Hamilton, Ontario, Canada. His principal research interest is diode laser physics and applications. Dan has taught many courses and in particular courses in statistics with direct relevance to finance and option pricing. Two of Cassidy's graduated PhD students work in the financial sector, and these former students (and now colleagues) interested him in applying the statistical analysis and modelling of his experimental work to problems in finance. On recent work and publications : "One can show from first principles that price truncation is not an ad hoc solution. It uses the concept of conditional probability, which is not an ad hoc concept. If one believes that stock prices of infinity are physically possible, then one must believe that the total wealth in the world is unlimited. In practice, returns that approach infinity are not seen. Our approach treats the market as a physical system and truncation (of fat-tail distributions) is consistent with the observed behaviour of that system."

"I don't like the truncation approach"