Chris Ariza is head of Investment Systems, a software engineering team responsible for internal application development for the Investment Management group.
Employing modern tools and robust development processes, Investment Systems provides production implementations of research models for portfolio construction and asset allocation, as well as applications for data quality control, portfolio analytics, and business automation.
With over 16 years of software engineering experience, Chris has developed tools in a variety of domains, most notably digital signal processing, algorithmic music composition, and computer-aided musicology. Prior to joining Research Affiliates, he was a visiting assistant professor of music at MIT, assistant editor of the Computer Music Journal, and an assistant professor of recording arts and music technology at Towson University.
Chris has a PhD and MA in music theory and composition from New York University, and a BA in music with honors from Harvard University.
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