Marc Pavese is responsible for overseeing Lord Abbett 's Data-Driven Insights team within investments. The team incorporates Quantitative Research and Portfolio Analytics capabilities, technologists focused on Analytics and Data Engineering, Data Strategy, and Investment Risk Management professionals. Working as an integrated whole, the team is focused on delivering actionable data-driven models and quantitative analytics into investment teams aimed at managing clients’ assets to outperform. Lord Abbett uses these insights and models in risk management framework as well, seeking to take intelligent and well understood risks in portfolios. Pavese serves on the investment committee and the executive committees of the firm.

Pavese joined Lord Abbett in 2008 and was named Partner in 2014. Prior to his current role, he served as a Quantitative Analyst for the taxable-fixed income team and then in equities. He has been a Portfolio Manager in several of the firms’ strategies as well. Prior to Lord Abbett, he was leader of the Investments Quantitative Risk Group at Genworth Financial and Research Scientist at the General Electric R&D Center, where he became a co-inventor on seven granted patents and five additional filed patents pending, 2000-04, in the machine learning and decision technologies space. He earned a BA in chemistry from Columbia University and a PhD in chemical physics from the University of Pennsylvania.