Ihsan Erman Saracgil Chief Product Officer OpenBB
QuantVision 2026: Fordham’s Quantitative Conference
Ihsan Erman Saracgil, Ph.D., is a senior AI and quantitative finance leader currently serving as Chief Product Officer at OpenBB, where he leads the development of next generation AI-driven financial research platforms used by institutional investors, hedge funds, and quantitative analysts worldwide. With deep expertise spanning artificial intelligence, quantitative research, financial data science, and economics, Saracgil has built a career at the intersection of advanced analytics and investment decision making.
At OpenBB, Saracgil oversees product strategy and innovation for one of the fastest growing open financial data and analytics ecosystems. He previously served as Head of Quant Research at OpenBB, where he led the integration of machine learning models, systematic investment research tools, and alternative data capabilities into the platform, enabling investors to conduct institutional grade analysis using scalable, AI powered infrastructure.
Prior to OpenBB, Saracgil served as Vice President of Data Science at S&P Global, where he worked on applying machine learning and data science techniques to financial markets, analytics platforms, and investment intelligence products. Before that, he spent more than six years at Visible Alpha, where he rose from Data Scientist to Senior Principal Data Scientist and ultimately Vice President of Data Science. At Visible Alpha, he built and led data science teams focused on extracting predictive signals from analyst estimates, earnings data, and alternative datasets, advising both buy side and sell side portfolio managers, quants, and institutional investors. His research contributed to systematic investment strategies and quantitative models widely used across global financial markets.
Earlier in his career, Saracgil worked at Cornerstone Research, where he designed quantitative and econometric models to analyze complex financial and economic questions in high stakes litigation, including valuation of structured credit products, credit risk modeling, foreign exchange transaction analysis, and damages estimation in securities cases. He also served as a Dissertation Intern at the Federal Reserve Board, presenting research on banking regulation and financial stability to staff economists.
Saracgil holds a Ph.D. in Economics from the University of Michigan, where his research focused on financial economics, banking regulation, and portfolio optimization. His doctoral work included game theoretic modeling of bank capital regulation under Basel III and decision theoretic models of portfolio management under leverage constraints. He also holds a Master’s degree in Economics from Bilkent University and a Bachelor’s degree in Business Administration.
Combining rigorous academic training with extensive industry leadership, Saracgil is recognized as a leading voice in AI driven financial research, quantitative investing, and the future of intelligent financial platforms. His work continues to shape how artificial intelligence, data science, and systematic research are transforming global capital markets.
