Carlos Salas is a driven and experienced CF30-regulated Portfolio Manager, Equity Analyst, and Data Scientist with a proven track record of success spanning over several years. He has worked with Long-only and Long/Short equity while utilizing a scientific and fundamental approach. Carlos has a passion for pragmatic investment processes and using machine learning techniques, discretionary fundamental bottom-up analysis, and quantitative risk management to achieve verifiable results.

Carlos has an extensive educational background, including studying at the London School of Economics and Political Science, the Afi Escuela de Finanzas, the NYC Data Science Academy, and the Universitat d'Alacant. He has also obtained certificates from the CFA Society UK and the CQF Institute.

Carlos has honed his skills through his employment at several esteemed organizations. These include his role as Equity Research, Portfolio Management, and Machine Learning Consultant at TopTal, Portfolio Manager, and Equity Analyst at Jefferies, Head of Equities & Portfolio Manager at London & Capital, Research Intern at Santander Asset Management, and Investment Analyst at BNP Paribas Investment Partners. His expertise ranges from corporate finance, forensic accounting analysis, and portfolio construction to transaction cost analysis, commodities, fixed income, and derivatives. Carlos is also a team leader and mentor with excellent public speaking and lecturing skills.

Carlos Salas is currently a freelance investment advisor and consultant on investment projects while delivering lectures on Data Science and Machine Learning at the University of London. He is an active member of the investment community with links to research, such as his SSRN research and contributions to the NYC Data Science blog.