Daniel Libman

Daniel Libman is a Quantitative Researcher at Brevan Howard since July 2022, having previously served as a Quantitative Developer at CenterBook Partners LP, where a comprehensive system for hedge fund trading activities was designed using Python and T-SQL. Academic experience includes a PhD in Financial Mathematics and Machine Learning from Bar-Ilan University, coupled with extensive research involving machine learning algorithms and statistical modeling, as well as teaching financial mathematics courses. A certified public accountant from 2012 to 2016, Daniel Libman managed significant fundraising efforts and led a team, and prior roles include a Senior Fraud Analyst at Barlev Investigative Auditing and IT Advisory at KPMG, focusing on fraud investigation and financial risk management, respectively.