MQ Industry LP: Intelligent Risk Assessment for Financial Services

Intelligence is the ability to learn from experience and use domain experts’ knowledge to adapt to new situations. In this context, an intelligent approach should be able to learn from domain experts’ knowledge and experience, and use this knowledge to automate operating processes, increasing analytical capacity, reduce costs, enhance quality, raise customer satisfaction levels, and boost decision making. Such intelligent approaches allow institutions to automate repetitive or low added-value tasks and reduce the potential for human error, and boosts productivity. In this project we focus on understanding the risk assessment process in financial services, i.e., the economic services provided by the finance industry which encompasses a broad range of businesses that manage money. We introduce a novel approach to intelligently identify and extract features from the Big financial Data (both internal and external). The goal is to establish a common approach for utilizing machine learning and artificial intelligence to exploit Big financial Data, to develop intelligent products and services for increasing analytical capacity and boost decision making.