Quadeye
Aadish Jain is a Quantitative Strategist at Quadeye, having held the position since June 2023 and previously from May 2022 to July 2022. Experience includes a Software Intern role at FogTeams and a Data Scientist position at Octro Inc., where implementation of a Deep Reinforcement Learning algorithm improved user notification click-through rates from 16% to 89%. Additionally, Aadish extended the MCCFR algorithm to determine the Nash Equilibrium Strategy in poker. Earlier experience as a Technical Researcher at vCreaTek Consulting Services Pvt Ltd involved deep learning and natural language processing concepts, contributing to a research paper for the SemTabFact competition at SemEval 2021. Aadish holds a Bachelor of Technology degree in Computer Science from the Indian Institute of Technology, Bombay, completed in July 2023.
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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.