Yash Ranawat

Financial Engineering graduate student at NYU with a strong foundation in quantitative modeling, derivatives pricing, portfolio optimization, and risk analysis. I apply advanced mathematics, probability, and statistical tools using Python to solve real-world problems in trading, insurance, and asset management. My background in computer engineering, combined with hands-on experience in quant research, Monte Carlo simulation, and actuarial portfolio forecasting, allows me to build efficient tools for strategy backtesting, scenario analysis, and capital allocation. I'm actively seeking full-time opportunities in quantitative research, systematic investing, risk modeling, or financial engineering—where I can contribute to data-driven decision-making and market innovation.