Paul Sargen
About Paul Sargen
Paul Sargen serves as the Chief Risk Officer at Hudson Bay Capital Management LP, where he has worked since 2012. He previously held the position of Director of Quantitative Trading at Aristeia Capital for ten years and has a Bachelor's degree in Economics with a Minor in Mathematics from Stanford University.
Work at Hudson Bay Capital Management
Paul Sargen has served as the Chief Risk Officer at Hudson Bay Capital Management LP since 2012. In this role, he oversees risk management strategies and practices within the firm. His responsibilities include risk identification and the development of systems to manage potential risks associated with investment activities. Sargen's expertise in this area contributes to the firm's ability to navigate complex financial markets effectively.
Experience at Aristeia Capital
Prior to his current position, Paul Sargen worked at Aristeia Capital as the Director of Quantitative Trading from 2002 to 2012. During his decade-long tenure, he played a significant role in the quantitative trading group, focusing on the evaluation and valuation of various investment products across major asset classes. His experience in this capacity provided him with a strong foundation in quantitative analysis and trading strategies.
Education and Expertise
Paul Sargen earned his Bachelor's degree in Economics with a Minor in Mathematics from Stanford University, where he studied from 1998 to 2002. This educational background has equipped him with a solid understanding of economic principles and quantitative methods, which are essential in his roles in risk management and trading. His academic achievements support his professional expertise in evaluating investment products and managing financial risks.
Research Contributions
Sargen co-authored a white paper on the Gerber Statistic, focusing on portfolio optimization. This work was published in the Journal of Portfolio Management, contributing to the field of finance by providing insights into effective portfolio management techniques. His research reflects his commitment to advancing knowledge in risk management and quantitative analysis.