Quadeye
Ashish R Nair is a Quantitative Strategist at Quadeye since June 2022, following a role as a Teaching Assistant at the Indian Institute of Technology, Delhi from August 2021 to April 2022, where responsibilities included assisting in courses such as 'Discrete Mathematical Structures' and 'Data Structures and Algorithms.' Prior experience includes a Quantitative Research Internship at JPMorgan Chase & Co. in the summer of 2021 and various Teaching Assistant positions at the Indian Institute of Technology, Delhi, focusing on 'Data Structures and Algorithms' and 'Introduction to Computer Science.' Additionally, Ashish completed research internships at the University of California, Los Angeles and the University of British Columbia. Ashish holds a Dual Degree (B.Tech + M.Tech) in Computer Science from the Indian Institute of Technology, Delhi, completed between July 2017 and June 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.