MAS Develops Research Platform for Fintech Investments
The Monetary Authority of Singapore, Deloitte and S&P Global Market Intelligence have collaborated to develop a prototype for an industry-wide Fintech Research Platform to help investors and financial institutions connect with Fintech start-ups that they can partner with, or invest in.
Currently, investors and financial institutions currently do not have access to reliable and up-to-date company information of FinTech startups and have to rely on informal networks to source investment opportunities, according to Deloitte’s internal analysis. This limits their view of all the companies in which they might deploy capital.
Hence, the Monetary Authority of Singapore (MAS) has jointly developed a prototype Research Platform with Deloitte and S&P Global Market Intelligence to plug the information gap. «We believe that the deployment of capital in start-ups, particularly those offering business-to-business solutions, can be vastly improved by enhancing transparency and increasing the confidence in data on early-stage companies,» said Sopnendu Mohanty, Chief Fintech Officer, MAS in a media statement on Tuesday.
Enhance Confidence and Transparency
MAS said it will continue to explore ways to develop the platform further with its partners. In addition, the regulator said it hopes the API Exchange that it developed in collaboration with the World Bank’s International Finance Cooperation and the ASEAN Bankers Association will create synergies.
Overall, the digital Fintech Research Platform is designed to:
- increase transparency by providing a comprehensive view of Fintech companies, including their attributes on business models, use cases, funding, and technology stack.
- Enhance investors’ confidence in Fintech companies through the transparency of aggregated third-party and self-reported data, clearly showing the source of each data point.
- Accelerate decision-making by allowing users to compare Fintech companies easily on one platform and prioritize the Fintech firms that they can potentially work with based on parameters that matter most to the users.