Mario Quillas Saavedra
About Mario Quillas Saavedra
Mario Quillas Saavedra is a Quantitative Developer with extensive experience in quantitative research and software engineering. He has worked at notable firms such as Squarepoint Capital and LFIS Capital, and has a strong academic background in Mathematics and Computer Science from prestigious institutions in France and Peru.
Work at Squarepoint Capital
Mario Quillas Saavedra has been employed at Squarepoint Capital as a Quantitative Developer since 2022. In this role, he applies his expertise in quantitative analysis and software development to enhance trading strategies and optimize performance. His work involves collaborating with other developers and analysts to implement complex algorithms and data models that support the firm's investment decisions.
Previous Experience at Qube Research & Technologies
Prior to his current position, Mario worked at Qube Research & Technologies as a Quantitative Developer for six months in 2021. During his tenure in Paris, he contributed to the development of quantitative models and tools that facilitated data analysis and trading operations. His experience at Qube helped him refine his skills in quantitative finance and software engineering.
Background in Quantitative Research and Analysis
Mario Quillas Saavedra has a solid background in quantitative research, having served as a Quantitative Research Analyst at LFIS Capital from 2017 to 2021. His four years in this role involved conducting in-depth analysis and developing quantitative strategies to inform investment decisions. This experience laid the groundwork for his subsequent roles in quantitative development.
Education and Expertise
Mario holds a Master’s Degree in Mathematics from Paris-Sud University, which he completed in 2012. He also earned an Engineer's degree in Mathematics and Computer Science from École Polytechnique in 2012. Additionally, he pursued PhD studies in Mathematics at Université Paris Cité from 2012 to 2015. His educational background provides him with a strong foundation in mathematical theory and computational techniques relevant to his work in finance.
Early Career and Teaching Experience
Mario began his career as a Junior Researcher at Universidad Nacional de Ingeniería de Perú in 2008. He also worked as a Game Programmer at Bamtang Games for five months in the same year. His teaching experience includes serving as a Graduate Teaching Assistant at both Ecole Polytechnique and UPMC - Sorbonne Universities, where he supported undergraduate students in mathematics and computer science courses.