Keyvan Azami is a technologist and hands-on leader in the financial industry with experience across various investment banking functions. He focuses on combining technical expertise, business knowledge and leadership skills to scale and drive technology programs with emphasis on agile and iterative development and scaling development teams across geographical locations. He is intimately involved in managing Front Office Trading and Front to Back technology teams, and has extensive experience in Fixed Income cash and derivative markets as well as the US Equity domain.

Areas of demonstrable expertise include: electronic trading/market making pricing and strategy development; High frequency, low latency electronic trading platform development. Mr. Azami also has extensive hands-on experience with data analytics and data science technologies and their growing use in price discovery and signal generation.

Peter Simpson is responsible for driving the vision and strategy for Datawatch’s Panopticon streaming analytics solutions. Peter joined Datawatch through the acquisition of Panopticon where he held the role of SVP Research & Development and had responsibility for product strategy, development, sales engineering and services, and helped to successfully expand the customer base to most top tier global financial institutions.

Prior to Datawatch, he was Product Manager at Instant Information, a provider of news analytics solutions to trading desks. He also held analytical roles at HSBC Global Markets within Technology, Equities, and Research for several years. Peter holds a MSc in Info Systems Engineering and a BSc in Physics with Space Science & Technology.

Tom Underhill is responsible for helping Confluent’s many partners become successful implementing solutions using the Confluent Platform. Tom joined Confluent after several years consulting in the Big Data and Analytics space where he led technical teams delivering large scale integration projects. His passion has always been around liberating data from silos, turning batch into real time, and building systems that scale.