EPAT Faculty > Radha Krishna Pendyala
Radha Krishna Pendyala
Data Scientist, Refinitiv (LSEG)
About the Faculty
Radha Krishna Pendyala is a Data Scientist at Refinitiv (LSEG), where he applies machine learning and quantitative financial modeling to solve challenges in the financial and risk domains. Before joining Refinitiv, Radha Krishna worked as a Portfolio Manager and ETF Market Dealer at Goldman Sachs Asset Management. His role involved handling large datasets and developing financial models for portfolio optimization.
Radha Krishna holds a Master’s in Financial Engineering from the City University of New York. His focus on integrating machine learning with financial modeling provides practical insights into modern data-driven finance.
Radha’s experience in applying machine learning to large financial datasets makes his expertise highly relevant for professionals looking to work in quantitative finance and data science.
EPAT Teaching
Radha Krishna delves into ETF structures, exploring their role in index movements, unit creation and redemption, and market dynamics like premiums and discounts. Participants also learn about trading models and work with alternate data, entity disambiguation, and sentiment analysis. With practical exercises and insights into applying these tools in finance, the session bridges theory and real-world trading strategies.
