Sergey Yakunin

Quantitative Researcher

Moscow, Moscow, Russia
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD Mathematical modeling numerical methods and software packages, Doctor of Philosophy - PhD Mathematical modeling numerical methods and software packages at Sirius University
bookСтепень бакалавра Экономика, Степень бакалавра Экономика at Tomsk State University

Github contributions (5)

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YakuninSerg/Anekdot

Dec 2017 - Feb 2018

Contributions:7 commits, 6 pushes, 1 branch in 2 months
YakuninSerg/SettingsHelper

Mar 2018 - Mar 2018

Contributions:6 commits, 4 pushes, 1 branch in 1 day
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