Tamara Vasylenko
About Tamara Vasylenko
Tamara Vasylenko is a Market Data Developer currently employed at Squarepoint Capital in Montreal, Quebec, Canada. She has a background in software development and data analysis, with experience in the financial domain and computer vision projects.
Current Role at Squarepoint Capital
Tamara Vasylenko currently serves as a Market Data Developer at Squarepoint Capital, a position she has held since 2023 in Montreal, Quebec, Canada. In this role, she focuses on developing and managing market data systems, contributing to the firm's trading strategies and operations.
Previous Experience at Mirametrix Inc.
Prior to her current role, Tamara worked at Mirametrix Inc. as a Software Developer for seven months in 2022 to 2023 in Montreal, Quebec, Canada. Her responsibilities included software development tasks that contributed to the company's projects and initiatives.
Background in Data Analysis and Software Development
Tamara has a diverse background in software development and data analysis. She worked as a Data Analyst Intern at the Industrial Technology Research Institute (ITRI) in Taiwan for four months in 2017. Additionally, she held the position of Backend Software Engineer Intern at ITRI for one month in 2017, where she gained foundational experience in backend development.
Experience in Financial Technology
Tamara has significant experience in the financial technology sector. She worked as a Software Developer at SinoPac Securities (Asia) Limited for one year from 2018 to 2019 in Taipei City, Taiwan. Following this, she served as a Market Access Developer at Société Générale for three years from 2019 to 2022 in Hong Kong, where she focused on market access solutions for trading platforms.
Educational Background
Tamara Vasylenko holds a Master's degree from National Chiao Tung University. Her education has provided her with a strong foundation in technology and data science, facilitating her transition from a Machine Learning Scientist and Researcher to a C++ Software Developer.