Brad has been working in the technology industry for over 25 years, specializing in finance as a technologist, quantitative researcher and trader. He is experienced in a wide range of technologies and solutions from ASIC design to large scale supercomputing. He applies this knowledge to solve the complex and data intensive financial products that exist in today’s markets. Most recently, Brad has focused on risk management where he’s built, maintained and helped manage risk for several firms that trade in both physical and financial products. He is also actively involved in the modeling community at large for both trading and risk management purposes including integrating upstream models.

Prior to joining Veritas, Brad was the Risk Manager for two different firms that are large scale traders of physical and financial natural gas, electric and refined products. Brad has also worked as a consultant for many years at a couple of niche consultancy firms providing solutions for ETRM systems, option market making platforms, order management systems, credit risk systems and several other custom solutions for trading and risk management.

Brad has earned a B.S in Computer Science from Florida Atlantic University and is working on his Masters in Computer Science with a focus on Artificial Intelligence at DePaul University.