Shaurya Garg

Quantitative Researcher @ Radix Trading

About Shaurya Garg

Shaurya Garg is a Quantitative Researcher at Radix Trading LLC, where he has contributed to high-frequency trading strategies since 2022. He holds a BSE in Computer Science from Princeton University, where he achieved a GPA of 3.95.

Current Role at Radix Trading

Shaurya Garg currently serves as a Quantitative Researcher at Radix Trading LLC, a position he has held since 2022. In this role, he focuses on quantitative analysis and algorithmic trading, contributing to the development of high-frequency trading strategies. His work involves applying computer science principles to financial markets, leveraging his academic background and prior experiences to enhance trading performance.

Previous Experience at Radix Trading

Shaurya Garg has previous experience at Radix Trading LLC, where he worked as a Quantitative Intern in both 2020 and 2021. During these internships, he was involved in quantitative analysis and gained insights into algorithmic trading practices. His time in Chicago, Illinois, provided him with practical exposure to the trading environment and the application of theoretical knowledge in real-world scenarios.

Education and Expertise

Shaurya Garg studied at Princeton University, where he earned a Bachelor of Science in Engineering (BSE) in Computer Science from 2017 to 2022. He achieved a GPA of 3.95, with a departmental GPA of 4.0. His education provided him with a strong foundation in computer science principles, which he applies to his work in quantitative research and trading.

Internships and Research Experience

In addition to his role at Radix Trading, Shaurya Garg has completed several internships and research positions. He worked as a Research Intern at the Indian Institute of Technology, Bombay in 2018, and as a Lab Research Intern at the Institute For Plasma Research in 2016. He also gained experience as a Mechanical Engineering Intern at Applus+ IDIADA in Pune, India, and contributed to logistics at TigerLaunch in Princeton, NJ.

Teaching Experience at Princeton University

In 2019, Shaurya Garg served as an Undergraduate Teaching Assistant in the Computer Science department at Princeton University for one month. This role involved supporting faculty and assisting students in understanding complex computer science concepts, further enhancing his communication and teaching skills.

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