Ghais Issa is a Senior Director of Global Quantitative Research based in Atlanta with 15 years of experience building high-performance, distributed systems and quantitative libraries for trading and risk. He combines deep expertise in software architecture, language and DSL design, distributed databases, and stream/batch processing with hands-on leadership of large-scale R&D frameworks that handle terabytes of data and 1,000+ concurrent threads. At ICE he has driven IRM 2.0, exotic derivative revaluations, and advanced volatility-surface and pricing-model research while also designing the organization’s core quantitative library. Prior roles span VP Engineering work on real-time personalization engines serving 15k requests per minute to systems-level engineering at VMware, reflecting a rare blend of low-level systems know-how and quantitative finance rigor. He is comfortable moving between research and production, turning sophisticated models into scalable, auditable infrastructure.
15 years of coding experience
16 years of employment as a software developer
BS, Computer Science, BS, Computer Science at American University of Beirut
Computer Science, Computer Science at University of Florida
Contributions:60 commits, 1 PR, 1 push in 1 year 9 months
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Ghais Issa - Senior Director, Global Quantitative Research