Alexander Dahl

Alexander Dahl possesses solid experience in quantitative analysis, project research, and machine learning applications, beginning with an internship at Teza Technologies, where contributions involved statistical arbitrage methodologies and risk allocation assessments. Previously, Alexander completed a strategic project at Gartner that identified significant efficiency improvements, collaborating effectively across teams to present actionable recommendations. As an independent project researcher at BP, Alexander focused on automating fossil size classification using advanced machine learning models. Additional roles include a Junior Analyst at the Edinburgh University Trading and Investment Club and a Trading Analyst at Amius. Alexander holds a BEng (Hons) in Mechanical Engineering from The University of Edinburgh and is currently pursuing an MSc in Applied Computational Science and Engineering at Imperial College London, achieving a distinction.