Jain said, from a regulatory perspective for fintechs, there are risks associated with financial stability, market integrity, and customer protection. For example, fintechs operating on the lending side have spurred the availability of unsecured loans globally. Such loans are often driven by machine learning models. However, effectiveness of these models for delinquencies has not been fully established, especially during an economic downturn. Any significant failure of these models will not only be limited to new entrants but will also impact regulated entities with exposure to them, he said.
According to Jain, use of models also brings the question of fair treatment in the extension of credit. It is necessary that highly aggravated fintech business models for decision making take care of the requirement of fairness through additional procedures, controls, and safeguards both in the development and deployment of models and also in the final decision making.