Quadeye
Rachit Bagga is a Quantitative Strategist at Quadeye since June 2023, bringing a strong background in quantitative finance and machine learning. Previously, Rachit worked as a Machine Learning Researcher at Abacus.AI and an Alpha Researcher at Trexquant Investment LP, both roles in early 2023, where Rachit focused on developing and back-testing trading signals. Rachit also gained experience as a Quantitative Strategist Intern at Quadeye, where Rachit modeled IV-Strike curves and implemented simulation-based strategies. Earlier, Rachit contributed as an Engineering Intern at FinIQ Consulting, where Rachit utilized genetic algorithms to enhance testing efficiency, and as a Research Intern at The Hong Kong Polytechnic University, where Rachit developed methodologies for the transition from diesel to electric fleets. Rachit holds a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Bombay.
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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.