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"

Jerome Noel Chief Technical Officer (CTO)

BSc. I.E.


Jerome Noel is an accomplished mechanical and industrial designer, teacher, data web application developer/programmer and self taught trader and investor. He follows the principles of the Lazy Investor Derek Foster, the SEPA filter creator Mark Minervini, the Accumulation/Distribution sage Larry Williams, and the Turtle Strategist William O’neal. He has trained out of school youth through the German Miserior program and the Salesians of Don Bosco. These programs equip kids in need with technical skills in electrical, mechanical, and industrial design, as well as wood working, welding and programming, and places them into apprenticeships of big companies, enabling them to be self-reliant. He has helped in the construction of a multi-billion dollar airport project in Hong Kong. He designed, programmed and managed the multi-million dollar web application inventory database of Nortel Networks. He has pioneered in the design and creation of the database application that ported AutoCAD paper drawing data of the Zueitina Oil Company into digitally accessible data in both city and desert locations. He has designed and implemented network, database and CMS(Content Management System) applications for oil and gas companies in Libya. He realized a 200% return on his self-managed investment portfolios in just 2 years. He learned this self-management of finance from the precepts of his dad who said: “Son, if you want to do it right, do it yourself.”