Strong quantitative and analytical skillset with expertise in financial statistics, modeling, market microstructure, and large-scale trading data analysis, supported by advanced programming experience in Python, KDB/Q, or similar technologies working with high-volume structured and unstructured trading datasets. Master's degree or equivalent experience in Finance, Statistics, Data Science, Engineering, or a related quantitative discipline with 15+ years of experience in trading, transaction cost analysis, quantitative research, execution strategy, or related disciplines within institutional asset management or financial markets.