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Nicolas De Moor is a proficient quantitative analyst currently working at Belfius since November 2022, where contributions include leading programming conversions from R to Python for technical pure premium modeling and developing a Streamlit application for data analysis. Previous roles involved gaining expertise in equity derivatives pricing and managing project tasks within the "Lead Management" project. Nicolas holds a PhD in Physics from Université de Namur, complemented by a Master's degree in Physics and Data, and a Bachelier in Sciences Physiques. Prior experience includes research in materials science at AGC Glass Europe, data analysis for operational improvements at ICS - Innovative Coating Solutions, and synthetic data research during an internship at GSK.