Minhyun Yoo is a quantitative developer with a decade of experience applying computational finance and high-performance computing to equity derivatives and model risk at KB Securities. He blends a strong academic background in financial engineering from Korea University with hands-on expertise in Python and CUDA, having developed pricing modules and researched GPU-accelerated methods. At KB he focuses on pricing and risk for autocallable products, translating quantitative research into production-grade models. His early work as a researcher and his practical systems experience from military IT support give him a pragmatic approach to robust, performant implementations. Active on GitHub, he bridges algorithmic rigor and engineering efficiency to tackle complex derivatives problems in a production trading environment.
10 years of coding experience
2 years of employment as a software developer
Master's degree Financial Engineering, Master's degree Financial Engineering at Korea University
Contributions:17 commits, 16 pushes, 1 branch in 11 months
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