Michael Simonelli is a Q/kdb+ senior consultant with 8 years of experience designing low-latency, large-scale data systems for institutional finance, including market-making, equity risk, order management, and exchange surveillance. He has led and delivered distributed data plants and analytic engines for HSBC, Morgan Stanley, Citi, BGC and Euronext, translating trading and risk requirements into production-grade, high-performance q applications. Comfortable across the stack, he augments kdb+ expertise with Python, C#, and Bash to build tooling, automation, and integration layers. Based in the New York City area, he combines a finance background (BS Finance) with hands-on engineering, often acting as the bridge between quant desks and platform teams to turn complex, time-critical workflows into auditable, scalable solutions.
Contributions:40 commits, 35 pushes, 1 branch in 1 year 9 months
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