Melvin Tan is a Vice President and Principal Consultant at KWA Analytics, specializing in the intersection of finance and technology. His experience spans consulting roles at PwC and State Street, focusing on software for trading and risk management. He holds an MBA from Washington University and a certification in Machine Learning from Stanford.
People who have worked with him describe him as accurate and highlight his ability to provide extremely valuable client feedback regarding business requirements, workflow optimization, and day-to-day operations.
He once developed pricing models for various hedging instruments using Monte Carlo simulation techniques while at Ameren Energy.
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