Andrea Chiaverini

Financial Data Scientist at Etna Research

Andrea Chiaverini is a Financial Data Scientist at Etna Research, specializing in frontier AI for alpha discovery and quantitative investment strategies. Previous experience includes roles as a Financial Data Scientist intern and a Quantitative Financial Analyst intern, where Andrea focused on feature engineering, trading signal extraction, and performance evaluation using Python, alongside algorithm optimization techniques. As a researcher at Luiss Guido Carli University, Andrea explored the interaction of economic entities in simulated markets applying reinforcement learning. Additionally, Andrea served as a guest lecturer on algorithmic pair trading strategies and led a team to a 4th place finish in the Rotman European Trading Competition. Andrea holds a Master's degree in Economics and Finance from Luiss Guido Carli University and a Bachelor's degree in Economics and Business from Università Telematica Internazionale UNINETTUNO. Prior to entering the finance field, Andrea gained experience in the restaurant industry, working as a chef for several years.

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