Natraj Raman is a Lead Data Scientist at S&P Global Ratings, London. S&P Global are a leading provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. They rate more than 1 million credit ratings on government, corporate, financial sector and structured finance entities and securities. The Ratings Data Science team focuses on strategic long-term initiatives for S&P Global. Currently, the team is working on an AI system designed to augment and enhance the experience of financial analysts for tasks such as automated information extraction, news alerting and loan covenant evaluation.
Prior to this, Natraj worked as a Senior Research Scientist in Thomson Reuters for over fourteen years. He has nearly two decades of experience in the software industry, designing and developing solutions for financial professionals. Natraj received his PhD in Computer Vision from the University of London. He also holds a Masters degree in Intelligent Information Systems and a Bachelors degree in Computer Science and Engineering. His research interest is in statistical machine learning, particularly information retrieval, probabilistic forecasting, stochastic processes and time-series analysis.