Siddhesh Gopanpallikar is a quantitative researcher with eight years of experience blending mathematical rigor, software engineering, and finance, currently working at QMS Capital Management after an internship there. He holds a Master's in Quantitative and Computational Finance from Georgia Tech and a B.Tech. from IIT Dhanbad, and has a strong foundation in stochastic calculus, linear algebra, and numerical methods. His background includes developing and backtesting statistical arbitrage, alpha-generation strategies, and NLP-based sentiment models, and he has implemented academic research such as "Lazy Prices" into practical systems. Prior software engineering roles honed his C++, Python, deep learning, and computer vision skills, enabling him to move models from research to production. Known for combining principled quantitative research with hands-on engineering, he seeks full-time quant finance roles aligned with his cross-disciplinary skill set.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Engineering , Bachelor of Technology (B.Tech.) Electrical Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
Master's degree Quantitative and Computational Finance, Master's degree Quantitative and Computational Finance at Georgia Tech Scheller College of Business
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