Quadeye
Ayush Jain is a Quantitative Strategist at Quadeye since July 2022, specializing in quantitative analysis. Previously, Ayush served as a Research Intern at the University of North Carolina at Chapel Hill from February 2020 to September 2021, where significant contributions included a published paper at EMNLP 2021, analysis of group discussion dynamics on the changeMyView subreddit, and the development of a predictive model achieving 80% accuracy in understanding persuasion through sentiment analysis. Additionally, during a Software Engineer Internship at Microsoft in May to July 2021, Ayush designed and implemented a web API for attribute combination hash generation while addressing concurrency issues, and integrated hashing algorithms into existing systems. Ayush holds a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Kanpur, completing the degree in 2022.
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Quadeye
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Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.