Yash Kothari

About Yash Kothari

I am an aspiring Quantitative Analyst and a Computer Science student (9.71 CGPA) driven by the intersection of advanced computation and financial markets. I plan to pursue an MS in Financial Engineering to further hone my quantitative research skills. Currently, my research applies deep learning to complex financial modeling, specifically developing noise-aware Neural Operators for arbitrage-consistent option pricing and designing Multi-Scale Graph Temporal Networks to forecast cross-sectional equity returns. Beyond my academic research, I spend my time actively analyzing equities, perform technical and fundamental analysis to optimize my family investments, and prepare for the CFA L1 exam. Backed by a strong portfolio of industry certifications spanning derivatives pricing, quantitative analysis, and advanced programming, I am eager to connect with quant professionals and researchers.

Experience

1. Research Consultant

   WorldQuant

   Mar 2026 — Present

   Design and develop predictive alphas using advanced arithmetic, logical, time-series, cross-sectional, vector, and transformation operators that meet Sharpe, turnover and out-of-sample performance thresholds. Analyze market patterns, engineer features, and define signals for robustness and consistency. Operate within a research-driven environment, showcasing skills in statistics, data analysis, and systematic strategy development.

Education

• SRM University, AP

  Bachelor of Technology - BTech, Computer Science

• Atmiya Vidya Mandir - International Residential School for Boys

  High School Diploma