Summary
Fedor Rybochkin is a quantitative researcher with nine years of experience bridging machine learning, applied mathematics, and quantitative finance, currently working at XTX Markets. His background includes hands-on quant research at Jane Street and analytics/engineering roles across startups and major tech firms, underpinned by a degree in Applied Mathematics and Informatics from HSE. Fedor combines rigorous data analysis with software engineering, having moved between roles as a data analyst, system analyst, and quant trader intern. He’s intellectually curious beyond code—interested in philosophy of knowledge, economics, sociology and neuroscience—which informs a habit of asking unexpected questions that shift perspectives. Colleagues describe him as direct, honest, and eager to share unusual insights that spark better models and decisions.
9 years of coding experience
Анализ данных в прикладных науках, Анализ данных в прикладных науках at Школа анализа данных
Бакалавр технических наук, Прикладная математика и информатика, Бакалавр технических наук, Прикладная математика и информатика at Высшая Школа Экономики
Russian, English