Simar Oberoi

Background

About Simar Oberoi

As an enthusiastic emerging quantitative professional, I hold an M.S. in Mathematics in Finance from NYU Courant and a B.Math in Mathematical Finance & Statistics from the University of Waterloo, blending rigorous academic training with real-world experience. My passion lies in leveraging mathematical and statistical models to untangle complex financial puzzles. I demonstrated this by developing hedging strategies at Morgan Stanley and designing challenging quantitative problems at Snorkel AI. PROGRAMMING & DATA ANALYSIS I'm a Python pro who thrives on transforming raw data into actionable insights. Whether it’s developing a guaranteed VWAP pricing algorithm using the Almgren-Chriss optimization model or analyzing closing auction dynamics on the NYSE and NASDAQ, I’m adept at diving into data to uncover trends and opportunities. COLLABORATION & MENTORSHIP My experience ranges from guiding students as a graduate teaching assistant to collaborating with teams at Morgan Stanley to support portfolio management initiatives. HOBBIES & TEAM PLAY Beyond the office, I’m a highly competitive and collaborative cricket player. As a batsman—known for my focus, quick decision-making, and persistence—I doggedly support my team’s success, a mindset that carries over into my professional approach. If you’re seeking a professional dedicated to advancing quantitative finance through innovative, team-focused approaches, let’s connect.