Carl-Fredrik Arndt

Carl-Fredrik Arndt is an experienced professional in quantitative research and data science, currently serving as the Director of Quant Research & Data Science at Hidden Road since August 2022, where a team of Quant Researchers, Quant Developers, and Data Scientists was built and led. Prior roles include Staff Data Scientist at Robinhood, focusing on financial risk modeling, and Senior Data Scientist at Lyft, where responsibilities included developing machine learning models for customer acquisition and budget allocation. Carl-Fredrik's prior experience as a Quantitative Researcher at Two Sigma involved the development of alpha and risk models for high-frequency trading, and roles at J.P. Morgan, Stanford University, and various internships further enriched expertise in quantitative analysis and education. Educational qualifications include a PhD in Computational and Mathematical Engineering from Stanford University, along with degrees in Economics and Applied Physics and Electrical Engineering from Linköping University.