Subham Khinchi
Skills: Python, C++/C, SQL, SAS, Excel - Advanced, VBA, Power BI
Bio
Subham holds an engineering degree from IIT Roorkee and is currently pursuing a Master’s in Financial Mathematics at NC State University. He has over four years of professional experience in credit risk analytics, having worked at Wells Fargo and EXL Service on credit loss forecasting, portfolio risk evaluation, stress testing, and building hedging strategies as well as quantitative solutions for senior leadership. His work has spanned consumer, commercial, and securities-backed lending portfolios, leveraging tools such as Python, C++, SAS, SQL, and Power BI. With a passion for continuous learning and a problem-solving mindset, he is currently building academic projects in quantitative finance, such as factor modeling, volatility modeling, time series analysis, and portfolio optimization, aimed at solving real-world challenges relevant to financial firms. Subham aims to pursue a career in quantitative research, portfolio management, or risk management in the financial sector by applying his technical skills, analytical experience, and deep interest in mathematics and machine learning.