The financial sector is undergoing significant changes, driven by the ever increasing importance of data and information technology. The Center for Financial and Risk Analytics at Stanford University pioneers financial models, statistical tools, computational algorithms, and software to address the challenges that arise in this context. The Center’s faculty and doctoral students combine expertise in core areas such as stochastics, optimization, data science, and networks and algorithms with a deep understanding of financial markets and institutions to make fundamental advances of broad relevance. The Center promotes cross-disciplinary, multi-faceted approaches that draw from finance, economics, operations research, statistics, law, computational mathematics, computer science, and other fields.
The Center’s researchers are particularly interested in the analytics issues associated with big financial data. This includes the design, analysis and testing of efficient computational and statistical methods for processing and analyzing massive financial data sets. It also includes the development of comprehensive tools for making data-driven pricing, risk management, regulatory, and business decisions. The Center’s researchers have also a strong interest in the development of innovative financial technologies that have the potential to disrupt the financial services industry.