The Math Libraries provide an excellent foundation for understanding the computational intricacies involved in financial modeling. By integrating financial modeling with the algorithms in the math libraries, one will actually achieve two goals at once: users find it easier to understand math theories/concepts and become more employable as they pick up real-world financial skills.

Based on my experience, there will be great demand for Quants as the financial world looks for people who “can do the job”. This will further strengthen the role of computational finance in teaching business students. To overcome the problem of programming, the instructor in advance can choose the functions that will be used to teach the lecture. This will allow the school to deliver creative solutions for the Financial Engineering class, and prepare the students to deliver new valuation models based on loss aversion and extreme value.

Do not destroy the essential catalyst of risk. By Lloyd Blankfein.