“The future of credit risk modeling is, undeniably, in the hands of artificial intelligence,” declares Nitesh Khullar, senior vice president of scoring, modeling & strategic analytics at an international banking firm. “Financial risk assessment doesn’t need to be subject to human error or bias any longer. Now, complex neural networks can offer precise, rapid logic at the push of a button.”
Nitesh Khullar is a seasoned risk management leader with over 15 years of leadership and coaching experience within banking and financial services. He specializes in end to end risk management, fraud risk management and strategic analytics across lending products, with expertise in data analytics and risk modeling.
Khullar’s bold statement comes at a rather exciting moment in the banking industry. As financial institutions ready themselves for economic uncertainties and a new wave of technologies, integrating ML/AI into credit risk management appears to be a universal concept. With over 15 years …