Filip Stachura, CEO at Appsilon Data Science spoke on Fintech Open Mic Night - Credit Scoring. Traditional credit scoring used financial history and basic info about the prospective borrower: job, address and so forth. The abundance of data fueled by the emergence of data-collecting companies opened completely new sources of information for risk managers. Optimal credit scoring model of today could use very large sets of data from a variety of sources and look for relationships among previously unnoticed areas and factors. This can lead to better allocation of lending capital and greater financial inclusion, as a consequence. Appsilon stands at the edge of discovery exploring new appliances of data science methodologies & tools in finance - hope you will enjoy our video. https://appsilon.com/appsilon-ceo-filip-stachura-talked-about-data-science-in-finance/