Roberta Clementucci

Background

About Roberta Clementucci

Results oriented quantitative research analyst with a solid knowledge of probability theory, stochastic process and econometrics, and a strong passion for predictive modelling for financial markets. In my roles at the European Central Bank, I contributed to compiling macroeconomic official statistics from microgranular data, developing optimisation algorithms for data aggregation, recommending data-driven solutions to improve data quality and automating compilation processes workflows. My academic background, including a master’s degree and academic fellowship at Bocconi University, provided rigorous training and strong theoretical foundations through hands-on experience in translating mathematical and statistical models into forecasts. With a proven ability to build, test and refine predictive models I bring a unique blend of advanced quantitative training and practical experience with large datasets and relational databases.