Bio

Anusha Muralidhar holds a Master of Science in Business Statistics from Vellore Institute of Technology, aided by a bachelor’s degree in International Finance and Accounting from Christ University in Bangalore, and a certification in Mathematical Methods for Quantitative Finance from the open learning platform of Massachusetts Institute of Technology (MITx). Her interests lie at the intersection of applied mathematics, statistics,  and finance, aiming to delve further into derivative pricing research and risk management. She is motivated by the ongoing challenges of translating mathematical theory into practical tools for financial decision-making. With academic and internship experience in Python, Advanced Excel, R and the Bloomberg Terminal, she is committed to sustainable trading systems and responsible AI-driven finance causes. She aspires to contribute towards computational finance teams that foster intellectual curiosity, precision, and innovation while advancing practical solutions for modern financial markets.

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