Tejas Kasture

About Tejas Kasture

I\'ve honed programming languages such as C++, Python, Java, and SQL. In addition, I am conversant with machine learning methods like K-means clustering, PCA, NLP, etc.I seek for challenges to continuously improve, satisfy my intellectual curiosity, and acquire new abilities in a fast-paced setting. My earlier projects at IIT Delhi and UNSW, Sydney have helped me create a creative attitude and problem-solving approach with the goal of making a beneficial influence on our society while also effortlessly combining business and technology.On the basis of my decision-making abilities, communication clarity, tenacity, and creative thinking, I want to grow my professional career.

Experience

1. Quantitative Research Consultant

   WorldQuant

   Apr 2025 — Present · IN

   Designed and implemented systematic equity models for statistical arbitrage by translating research ideas into robust mathematical frameworks- Developed 300+ long–short, market-neutral alphas across US, China, Korea, Japan, Asia, and global equity markets- Created value-adding, uncorrelated signals that enhanced the existing alpha pool, achieving higher merged Sharpe ratios, stronger returns, and lower drawdowns, while managing turnover and margin constraints- Strengthened and diversified the alpha pool with high OS/IS (out-of-sample/in-sample) performance, improving model generalizability and stability.

Education

• Indian Institute of Technology, Delhi

  Chemical Engineering

  2020 — 2025