The Fintech Spatial Data Science Masterclass with J.P.Morgan covered three main areas: spatial data science, spatial analysis and data science workflows, and hand-on spatial analysis using Python. Spatial data science treats location distance and spatial interaction as core aspects of the data, focusing on the importance of "where" in traditional data science. It includes various techniques such as spatial clustering, regionalisation, and spatial modelling to leverage location in prediction. The workshop also covered site selection and logistics spatial optimisation, where spatial data science was used to predict potential revenues for new locations and design an optimal supply chain network with reduced distance travelled and average utilisation. CARTO's framework was used throughout the hands-on section of the workshop to explore, enrich, analyse, and share data. The masterclass aimed to provide practical insights into spatial data science and its applications in various industries.