Desarrollo de un modelo predictivo para detección de riesgo crediticio utilizando redes neuronales para una entidad financiera.

Abstract

With this paper we want to help minimize credit risk by verifying customer access to credit granted by the financial institution that is under study; the goal is to leverage the strength of computer tools and artificial intelligence that can help us in this area, because their various techniques have been applied in finance with successful results in the field of detection and prediction. The success of our work is based on presenting a guide and to help the institution to verify whether the customer is feasible credit or not, that way both the debtor and the creditor will not be involved in the future with possible problems of finance such as legal problems and debts. With the result, the financial institution may have a tool to evaluate data and help in decision-making, because it is always good to accompany personal experience with technology and new procedures