Raju
Chinthalapati
Reader in Financial Technologies University of London
Dr. V L Raju Chinthalapati is a Reader in Financial Technologies in the Department of Computing at Goldsmiths, University of London, where he also serves as the Programme Director for the MSc in Data Science & AI. Prior to his current role, Dr. Raju held academic positions at the University of Southampton (Southampton Business School) and the University of Greenwich (Business School). He holds a PhD in Financial Mathematics from the London School of Economics (LSE) and previously earned a PhD in Computer Science and an MSc in Mechanical Engineering from the Indian Institute of Science, Bangalore.
Dr. Raju’s research and consultancy work span financial technologies, banking and finance, algorithmic trading, machine learning, AI, and big data analytics. His research focuses on bridging the gap between cutting-edge technologies and the financial processes associated with investment, risk management, and regulatory frameworks. He actively collaborates with FinTech and Data Analytics startups to design and develop innovative solutions for AI/ML applications in social sciences, investment analysis, algorithmic trading, 3D visual analytics, risk management, and regulatory compliance.
COURSES
Machine Learning for Finance course is designed to provide students with a comprehensive understanding of how machine learning techniques can be applied to solve various financial problems. It prepares learners to harness machine learning in areas such as stock price prediction, fraud detection, portfolio management, and high-frequency trading. This course covers both foundational and advanced topics in machine learning, including supervised/unsupervised learning, deep learning, NLP for financial sentiment analysis. Practical Python exercises are included to apply concepts like time series forecasting, algorithmic trading, and big data analysis in finance.
Finance and Fintech