Summary
Jose Neto is a finance PhD candidate at Northwestern University’s Kellogg School of Management, blending rigorous econometrics with machine learning to tackle empirical asset pricing. With about nine years in research and related roles, he has worked on projects at Kellogg, Covid19Analytics, B3, and FEBRABAN, bridging academia and industry-scale data challenges. Based in Evanston, Illinois, his scholarly focus spans empirical asset pricing, financial econometrics, and ML methods, aiming to translate complex models into robust financial insights. He holds a BA in Economics from Ibmec and an MS in Economics from FGV EESP, and has been pursuing his PhD in Finance at Kellogg since 2020. His cross-continental exposure, spanning Brazil and the United States, and hands-on work with diverse financial datasets give him a practical edge in turning theoretical methods into actionable finance research.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Economics, 90.60, Bachelor of Arts - BA, Economics, 90.60 at Ibmec
Master of Science - MS, Economics, 8.53, Master of Science - MS, Economics, 8.53 at FGV EESP
Kellogg School of Management
Portuguese, Spanish, English