Louis Garfinkel
About Louis Garfinkel
Louis Garfinkel is a quantitative researcher currently working at Squarepoint Capital in London, England. He has a background in mathematics from the University of Cambridge and has held various roles in quantitative analysis and science coordination.
Work at Squarepoint Capital
Louis Garfinkel has been employed as a Quantitative Researcher at Squarepoint Capital since 2020. In this role, he focuses on developing quantitative models and tools to enhance trading strategies and data analysis. He created a Python-based tool that improved data analysis efficiency by 30%, demonstrating his technical skills and contribution to the firm's operations.
Previous Experience in Quantitative Analysis
Before joining Squarepoint Capital, Louis worked as a Quantitative Analyst at White Swan Data from 2019 to 2020. His responsibilities included analyzing financial data and developing quantitative models. Prior to this, he served as Co President and CBS Coordinator at Cambridge Hands-On Science (CHaOS) from 2017 to 2019, where he coordinated educational initiatives and events.
Education and Expertise
Louis Garfinkel studied at the University of Cambridge, where he earned a Bachelor of Arts in Mathematics from 2015 to 2018 and a Master's degree in Part III Mathematics from 2018 to 2019. He also holds a certification in Advanced Python Programming from the London Institute of Technology, which complements his quantitative research skills.
Research Contributions and Publications
In 2021, Louis contributed to a research paper on machine learning applications in finance, which was published in the Journal of Financial Data Science. His involvement in this research highlights his commitment to advancing knowledge in the field of quantitative finance.
Mentorship and Community Involvement
Louis volunteers as a mentor for aspiring data scientists through the London Data Science Society. This role allows him to share his knowledge and experience with others in the field, fostering the development of future professionals in data science.