Jose Luis Avilez
About Jose Luis Avilez
Jose Luis Avilez is a Quantitative Researcher currently working at Squarepoint Capital in New York. He has a diverse background in research and data science, with experience at various institutions and companies across North America.
Current Role at Squarepoint Capital
Jose Luis Avilez currently serves as a Quantitative Researcher at Squarepoint Capital, a position he has held since 2023. Based in New York, New York, he is involved in quantitative analysis and research, contributing to the firm's investment strategies and decision-making processes.
Previous Experience in Data Science and Research
Jose Luis Avilez has a diverse background in data science and research. He worked at Oliver Wyman as an Insurance Modelling and Analytics Specialist for three months in 2018. He also held positions as a Junior Data Scientist at Flipp and as a Statistical Data Scientist at Capital One, both in 2018 for three months. Additionally, he served as an Undergraduate Research Assistant at the University of Waterloo in 2019 for three months.
Educational Background in Mathematics and Statistics
Jose Luis Avilez has a strong educational foundation in mathematics and statistics. He earned a Bachelor’s Degree in Honours Mathematics from the University of Waterloo from 2017 to 2020. He then completed a Master of Mathematics at the same institution from 2020 to 2021. Most recently, he studied Operations Research and Financial Engineering at Princeton University from 2021 to 2023.
Research Experience at Universidad Peruana Cayetano Heredia
Jose Luis Avilez gained significant research experience at Universidad Peruana Cayetano Heredia. He worked as a Research Trainee from 2014 to 2016 for two years and later as a Research Assistant in the Unidad de Investigación, Ciencia y Tecnología for seven months in 2016. This experience contributed to his foundational skills in research methodologies.
Co-Founder Role at DataX.one
In 2018, Jose Luis Avilez co-founded DataX.one, where he served as Chief Research Officer for one year. In this role, he focused on advancing research initiatives and data analytics, contributing to the development of innovative solutions in the data science field.