Wojciech Jabłoński
About Wojciech Jabłoński
Wojciech Jabłoński is a Quantitative Technologist currently employed at Radix Trading LLC in Amsterdam. He holds a Master's degree in Computer Science from the University of Warsaw and has experience in software engineering from internships at Intel Corporation and NVIDIA.
Work at Radix Trading
Wojciech Jabłoński has been employed at Radix Trading LLC as a Quantitative Technologist since 2021. His role involves applying quantitative analysis and technology to enhance trading strategies. He operates from the company's office located in Amsterdam, North Holland, Netherlands. His experience in quantitative finance and software development contributes to the firm's trading operations.
Education and Expertise
Wojciech Jabłoński holds a Master's degree in Computer Science from the University of Warsaw, which he completed from 2019 to 2021. Prior to that, he earned a Bachelor's degree in Computer Science from the same institution, studying from 2014 to 2018. Additionally, he has been pursuing a Bachelor's degree in Mathematics at the University of Warsaw since 2014. His educational background equips him with a strong foundation in both computational and mathematical principles.
Background
Wojciech Jabłoński completed his high school education at XIV LO im. Stanisława Staszica w Warszawie, where he participated in a university-level math program and received his High School Diploma from 2010 to 2014. Following his secondary education, he gained practical experience through internships at notable companies such as Intel Corporation and NVIDIA, where he worked as a Software Engineer Intern and a Deep Learning Software Development Intern, respectively.
Previous Work Experience
Before joining Radix Trading, Wojciech Jabłoński held several positions that contributed to his expertise in software development and quantitative analysis. He worked as a Software Engineer at Uniwersytet Warszawski from 2015 to 2016 for eight months. Additionally, he completed internships at Intel Corporation in 2015 for three months and at NVIDIA in 2017 for two months, gaining valuable experience in software engineering and deep learning.