Jason Dong

Jason Dong

Junior Quantitative Trader @ Valkyrie Trading

About Jason Dong

Jason Dong is a Junior Quantitative Trader with experience in machine learning and investment consulting. He has held various roles in organizations such as Machine Learning at Berkeley and Valkyrie Trading, contributing to projects in AI and trading strategies.

Current Role at Valkyrie Trading

Jason Dong currently serves as a Junior Quantitative Trader at Valkyrie Trading, a position he has held since 2023. In this role, he focuses on high-frequency future price prediction, applying quantitative analysis to trading strategies. His work involves utilizing advanced mathematical models and algorithms to inform trading decisions, contributing to the firm's overall trading performance.

Previous Experience in Machine Learning

Before his current role, Jason gained extensive experience in machine learning through various internships and leadership positions. He worked as a Machine Learning Intern at percipient.ai, where he developed machine learning solutions for three months in 2021. Additionally, he served as President and External Vice President at Machine Learning at Berkeley, enhancing partnerships and leading initiatives within the organization.

Educational Background in Engineering and Economics

Jason Dong studied at the University of California, Berkeley, where he earned a Bachelor of Science degree in Electrical Engineering and Computer Science, as well as Economics, from 2019 to 2023. His education provided a strong foundation in both technical and analytical skills, which he applies in his current trading role.

Internship Experience Across Various Companies

Throughout his career, Jason has completed several internships that have enriched his expertise in machine learning and quantitative analysis. He interned at Gyrfalcon Technology Inc. and Aurora, where he worked on machine learning infrastructure. He also gained experience as a Machine Learning Intern at Nayya and as a Strategy Consultant for Tinder at DiversaTech Consulting, focusing on strategic initiatives.

Leadership Roles in Academic Organizations

In addition to his technical roles, Jason held significant leadership positions in academic organizations. As President of Machine Learning at Berkeley for four months in 2022, he led the organization and oversaw various projects. He also served as External Relations Officer and External Vice President, where he focused on building partnerships and enhancing the organization's outreach.

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