Credit Risk Modeling and Decisioning
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Today we speak with Vikas Deep Sharma, Executive Director, EY and Ivy Tan, EY Senior Manager, specializing in IFRS 9 and Credit Risk for the Financial Services Sector, on the subject of Credit Risk Modeling and Decisioning.    For more insights on this topic, click here.  White Paper 6 Keys to Credit Risk Modeling for the Digital Age The emerging role of machine learning and alternative data in credit decision making   About this paper Does your organization want to make faster and more accurate credit decisions for both origination and servicing? Modernizing and automating the end-to-end process – from data management to model development and credit decisions – can reduce credit losses and boost performance. Empowering this process with machine learning supports more effective decisions about credit for individuals, products or portfolios.   About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.
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