Summary
Zohar Kol is a quantitative trader and algorithmic trading specialist with deep roots in high-frequency trading and a strong background in cryptographic software development. He leverages 15 years of HFT experience and prior work on FIPS/EMV-compliant signature systems to build data-driven, ML-enhanced trading strategies as a self-employed practitioner. Technically fluent in performance-oriented C/C++ on Linux, cluster orchestration, and deployment tooling from his long tenure at Final Israel, he blends low-latency systems thinking with quantitative modeling. Based in Israel, he combines practical production engineering skills with research-minded experimentation, often translating cryptography and AI techniques into novel trading methodologies. An eye for compliance and robustness underpins his approach, making him equally comfortable optimizing infrastructure and iterating on strategy performance.
6 years of coding experience
18 years of employment as a software developer
Bachelor of Applied Science - BASc, Computer Science, Bachelor of Applied Science - BASc, Computer Science at The Open University of Israel