Anastasia Bayandina
About Anastasia Bayandina
Anastasia Bayandina is a Quantitative Researcher at GSA Capital in London, England, where she has worked since 2022. She previously held positions as a Software Engineer at Meta and a Machine Learning Engineer at Yandex, with a Master's degree in Applied Mathematics from the Moscow Institute of Physics and Technology.
Work at GSA Capital
Anastasia Bayandina has been employed as a Quantitative Researcher at GSA Capital since 2022. In this role, she focuses on developing quantitative models and strategies to enhance investment decisions. Her work contributes to the firm's efforts in leveraging data analytics and mathematical techniques to optimize trading performance. GSA Capital is known for its quantitative investment approach, and Bayandina's expertise plays a crucial role in its operations.
Previous Experience at Meta
Before joining GSA Capital, Anastasia Bayandina worked at Meta as a Software Engineer from 2021 to 2022. During her nine-month tenure, she contributed to various software development projects, applying her technical skills to enhance the company's platforms. This experience provided her with insights into large-scale software systems and the importance of data-driven decision-making in technology.
Experience at Yandex
Anastasia Bayandina served as a Machine Learning Engineer at Yandex from 2018 to 2021. Over three years, she focused on developing machine learning algorithms and models to improve the company's services. This role allowed her to gain significant experience in applying machine learning techniques to real-world problems, enhancing her analytical skills and technical knowledge.
Education at Moscow Institute of Physics and Technology
Anastasia Bayandina earned her Master's degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT), where she studied from 2013 to 2019. MIPT is recognized for its rigorous academic programs in science and engineering. Her education provided a strong foundation in mathematical concepts and their applications, which are essential in her current role as a Quantitative Researcher.