Summary
Carlos Salas is an FCA-regulated portfolio manager, data scientist and freelance investment researcher based in London with nine years of professional experience applying machine learning to equity investing and portfolio management. He advises family offices and a top-tier investment bank via Toptal, delivering bottom-up idea generation, quantamental scoring systems, ML backtests and asset allocation recommendations. Formerly Head of Equities and Portfolio Manager, he scaled strategies to over $1B AuM and combined systematic ML screening with disciplined fundamental analysis to achieve double-digit returns and industry awards. His background includes proprietary trading experience at Jefferies, where he built ML models to shortlist long/short ideas and managed derivatives hedging and execution, and earlier roles focused on automated financial statement analysis and pair-trading surveillance. Carlos also teaches ML for investments at Goldsmiths and brings practical training experience to clients across banks, pension plans and family offices. A quietly technical investor, he blends production-grade Python/R tooling with forensic accounting and practical portfolio execution.
9 years of coding experience
5 years of employment as a software developer
IMC (Investment Management Certificate), IMC (Investment Management Certificate) at CFA Society UK
Degree, Degree at Universitat d'Alacant
Certificate, Certificate at CFA Institute
CQF Institure - Certificate in Quantitative Finance, CQF Institure - Certificate in Quantitative Finance at CQF Institute
MSc, MSc at NYC Data Science Academy
London School of Economics and Political Science, U. of London
Msc, Msc at Afi Escuela de Finanzas
Spanish, English, French