Sergey Yakunin is a quantitative researcher with eight years of experience bridging alpha research, statistical arbitrage and production-ready analytics. Based in Moscow, he has worked across HFT and fintech startups and currently researches systematic strategies at Optimex.ai while completing advanced studies in mathematical modeling and finance at Sirius University. His background spans hands-on Python teaching, data analysis in gaming, and short-cycle HFT research roles, reflecting an ability to move ideas from theory to deployable code. Sergey also maintains Android development interests on GitHub, highlighting a broader software toolkit beyond quant stacks. Known for combining rigorous numerical methods with practical trading intuition, he brings both academic depth (PhD-level work underway) and startup agility to quantitative problem solving.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Mathematical modeling numerical methods and software packages, Doctor of Philosophy - PhD Mathematical modeling numerical methods and software packages at Sirius University
Степень бакалавра Экономика, Степень бакалавра Экономика at Tomsk State University
Contributions:6 commits, 4 pushes, 1 branch in 1 day
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