Raghav Gupta — AI Researcher

Driven financial engineering student with a passion for quantitative research and trading. Currently pursuing a Master's degree at the University of California, Berkeley's Haas School of Business, specializing in Financial Engineering. With a solid foundation in Electrical and Computer Science engineering from the prestigious Indian Institute of Technology Delhi, and hands-on experience at Goldman Sachs, I bring a unique blend of technical expertise and financial acumen to the table. During my tenure at Goldman Sachs within the Global Banking & Markets Division, I served as a strategist for the Bond Portfolio/ETF Market Making Desk, covering US markets. There, I dedicated myself to refining quoting strategies, pricing models, and algorithmic trading systems for bond portfolios and ETFs. Prior to this role, I gained invaluable experience as a strategist in Goldman Sachs' Risk division, providing me with firsthand insights into risk management and Credit Valuation Adjustment (CVA)/exposure models. My academic journey at IIT Delhi, equipped me with a robust foundation in coding and quantitative analysis. Throughout my undergraduate program, I delved deeply into areas such as Machine Learning, Reinforcement Learning, Probability, Statistics, and Data Structures and Algorithms through rigorous coursework and immersive research endeavors. Beyond my technical pursuits, I enjoy exploring diverse cuisines, playing the guitar, and engaging in sports like Table-Tennis and Cricket. I am enthusiastic about connecting with like-minded professionals and contributing to innovative projects at the intersection of finance, technology, and data science. Let's connect and explore opportunities to collaborate!

Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and algorithmic trading expertise.

Location: New York, New York, United States

Experience: 3 yrs 3 mos