Daniel Trivino

Daniel Trivino is a Quant Analyst at Farallon Capital Management LLC in Berkeley, CA, where he leverages advanced quantitative techniques to support the firm’s investment strategies. In his current role, Daniel specializes in statistical modeling and data-driven analysis for multi-strategy portfolios, with a specific focus on public equities and derivatives across global markets.

Prior to joining Farallon as a full-time analyst in 2024, Daniel gained experience as a Quant Research Student at Abu Dhabi Investment Authority (ADIA), where he worked on factor-based investment models and risk analytics in sovereign wealth portfolio management. He also completed a Quant internship in Farallon's labs division, focusing on machine learning applications for asset allocation.

Daniel holds a Master’s degree in Financial Engineering from UC Berkeley’s Haas School of Business, and graduated with high distinction in Actuarial Science with minors in Mathematics and Economics from the University of Nebraska-Lincoln. His expertise spans quantitative finance, financial risk modeling, and algorithmic trading, contributing valuable insights to institutional investment teams.