Summary
Harsh Doshi is a seasoned execution technology leader with 12 years’ experience building low-latency, algorithmic trading systems across buy- and sell-side firms. As Co-Head of Execution Technology and prior Lead Trading Engineer at ExodusPoint, and formerly Lead Algo Trading Services at RBC, he has delivered greenfield distributed trading platforms, optimal execution frameworks and real-time analytics using Java, kdb+/q, Python and CEP engines. He specializes in FIX/RFQ workflows, time-series signal engineering and ultra-low-latency plumbing (LMAX Disruptors, Chronicle, Azul Zing, Solace/ZeroMQ) that power portfolio and scheduled execution algorithms. Comfortable both as a hands-on developer and technical lead, he combines production-grade engineering (Docker, Maven, Guice, testing frameworks) with quantitative insight into volume/volatility models and execution performance. Based in the UK with a master’s from NYU Poly, he brings a practical blend of trading domain expertise and systems design that consistently reduces latency and improves VWAP/slippage outcomes. An unexpected strength is his end-to-end ownership of analytics pipelines that stream continuous kdb+ feeds into execution engines, bridging quant research and production trading.
12 years of coding experience
7 years of employment as a software developer
Master's degree Computer S, Master's degree Computer S at New York University - Polytechnic School of Engineering
Bachelor's degree Information Technology, Bachelor's degree Information Technology at University of Mumbai
Gujarati, Marathi, Hindi, English