Ashish Gupta — Associate Consultant

I am a Master in Finance candidate at Princeton University with 4+ years of experience as a Quant Strategist at Goldman Sachs and recent experience as a Summer Associate in Morgan Stanley’s Fixed Income SPG Lending team. My work sits at the intersection of mathematics, statistics, finance, and computer science — applying machine learning, feature engineering, and quantitative modeling to solve complex investment problems. At Goldman Sachs, I specialized in portfolio risk modeling and quantamental portfolio construction, developing factor-based frameworks to identify active risk drivers and improve portfolio efficiency. At Morgan Stanley, I built an interpretable machine learning model to revalue illiquid private loans, improving CCC+ and sub credit prediction accuracy from 30% to 70% and enabling better risk alignment. I thrive in research-driven environments that demand both analytical rigor and market intuition, and I am passionate about applying advanced data science to generate actionable investment insights.

Stackforce AI infers this person is a Fintech professional with strong expertise in quantitative finance and machine learning.

Location: Princeton, New Jersey, United States

Experience: 3 yrs 11 mos