Quadeye
Yatharth Goswami is currently a Quantitative Strategist at Quadeye, developing Mid Frequency Trading Strategies since June 2023. Previously, Yatharth worked as a Research Assistant at École polytechnique fédérale de Lausanne in collaboration with Prof. Sanidhya Kashyap at the RS3 Lab from September 2022 to January 2023. Yatharth also held a position as a Quantitative Researcher at Quadeye in mid-2022, receiving a pre-placement offer after the internship. Earlier experience includes an Undergraduate Systems Researcher role at CDOS lab IITK, focusing on memory consumption in container-based sandboxes, and a Research Intern role at EPFL studying Heavy Hitter Flow Detection with Fully Homomorphic Encryption. Additionally, Yatharth was a Machine Learning Security Researcher at C3i Hub, conducting malware analysis using NLP techniques. Academic credentials include a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Kanpur, and further studies at EPFL.
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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.