Christos Papachristou

Desk Quant Analyst @ Squarepoint Capital

About Christos Papachristou

Christos Papachristou is a Desk Quant Analyst at Squarepoint Capital in London, specializing in deep learning applications within quantitative analysis. He holds a Master of Science in Mathematical Sciences from the University of Oxford and a Bachelor of Science in Mathematics from the University of Patras.

Work at Squarepoint Capital

Christos Papachristou has been employed at Squarepoint Capital as a Desk Quant Analyst since 2022. In this role, he operates from London, England, and focuses on applying deep learning techniques to quantitative analysis. His position involves utilizing advanced mathematical models to inform trading strategies and decision-making processes within the firm.

Education and Expertise

Christos Papachristou holds a Master of Science degree in Mathematical Sciences from the University of Oxford, where he studied from 2020 to 2021. Prior to this, he earned a Bachelor of Science degree in Mathematics from the University of Patras, completing his studies from 2016 to 2020. His educational background provides him with a strong foundation in both theoretical and applied mathematics, particularly in statistics and deep learning applications.

Background

Christos Papachristou has gained experience in both academic and professional environments across multiple countries, including Austria and the United Kingdom. His international exposure has contributed to his diverse skill set and understanding of quantitative analysis in different contexts. Before joining Squarepoint Capital, he worked as a Research Intern at the Institute of Science and Technology Austria from 2021 to 2022.

Achievements

Christos Papachristou has developed a specialization in deep learning applications within quantitative analysis. His academic and professional experiences have equipped him with a robust understanding of mathematical concepts and their practical applications in finance and research. His work at Squarepoint Capital and previous research internship reflect his commitment to advancing his expertise in quantitative methods.

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