Boris Skidan is a Head of Data Science Technology in New York with nine years focused on leading platforms that turn quantitative research into production trading systems across front, middle and back offices. He has deep domain expertise in ultra-low-latency electronic market making and direct market access as well as longer-horizon strategies, having built both proprietary trading engines and enterprise ML platforms. Boris architects hybrid cloud and on-premises solutions that combine elastic storage and distributed compute to support signal development, data analytics, and scalable model deployment for buy- and sell-side workflows. His career blends hands-on C++ market microstructure engineering with senior technology leadership at firms like Barclays, Data Capital Management and boutique trading shops, giving him rare end-to-end perspective from market data feeds to production risk controls. He also brings cross-industry experience—leading AI-driven healthcare diagnostics at Remedy Logic—demonstrating an ability to translate ML infrastructure lessons between finance and healthcare. Known for pragmatic platform design, he focuses on enabling data scientists to iterate fast while maintaining operational resilience in live trading environments.
9 years of coding experience
15 years of employment as a software developer
B.Sc Computer Science, B.Sc Computer Science at Bar-Ilan University
Supports configurable, Eclipse like, save actions, including "organize imports", "reformat code" and "rearrange code".
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