FinTech insights: A comprehensive look into the evolution and maturity of FinTech ecosystem

PwC Singapore recently hosted an insightful industry workshop that brought together compliance specialists from the Singapore payments industry. The roundtable discussion, which centered on themes of anti-money laundering (AML) and anti-scam measures, yielded great insights and surfaced issues that cut across the various business models represented in the room.
We kicked off discussions with the challenge of balancing quicker onboarding processes with the ever-increasing complexity of customer due diligence (CDD) expectations laid out by the regulators. A key concern that seemed to cut across industry players was the question of sufficiency of source of wealth (SOW) corroboration. Payment service providers (PSPs) questioned the viability of a one-size-fits-all approach to SOW and highlighted the importance of balancing the efforts on corroboration against the risks faced by each PSP.
The participants discussed the prevalent levels of fraud that exists within the system and the more complex impersonation tactics which has only been exacerbated by artificial intelligence. Most participants agreed that the increased risk would need to be mitigated by implementing safeguards either internally, or externally, through the use of outsourced service providers.
The necessity for more complex CDD procedures naturally ended in a consideration of resource constraints within the industry and PSPs efforts to invest in better systems and processes to alleviate the strain. One common practical option identified by many PSPs was to stagger the CDD process depending on the nature of the product or the volume of transactions. For example, a user could be permitted to create an account and learn about the use case of the application without requiring any CDD. The user would only be subject to CDD at the point they wish to conduct their first transaction. Many PSPs shared that this approach could be taken a step further by requiring a simplified CDD exercise when a customer is only transacting simple products or at low volumes. The requirements would then increase if the customer wished to transact more complex products such as crypto.
Key takeaways:
Transaction monitoring (TM) was another critical area of focus. Participants explored how machine learning (ML) and artificial intelligence (AI) can enhance AML efforts. Larger industry players shared benefits and drawbacks of implementing ML models within the overall transaction monitoring framework. These include more precise transaction monitoring alerts and building a system that is overall more dynamic resulting in more positive hits compared to traditional static rules. In fact, in most instances, ML models far outperform static rules in detecting actual suspicious transactions.
A key point discussed was the availability of high-quality data to train in-house ML models. MAS’s Collaborative Sharing of Money Laundering/Terrorism Financing (ML/TF) Information & Cases (COSMIC) program was discussed as a viable first step in the journey.
Lastly, participants considered the need to balance the benefits against increased investment needed by PSPs both from the perspective of infrastructure and manpower costs.
Key takeaways:
The rising threat of online scams and human trafficking was a significant concern among the participants. Participants noted that scammers are becoming increasingly sophisticated, often targeting highly educated individuals. PSPs noted that despite the industry players constantly enhancing anti-scam requirements, scammers too continue to develop and sharpen their approach. As a result, the first time a new type of scam occurs, it’s a race against the clock for PSPs to identify and understand the trend, then implement an adequate counter-response.
Participants continued the discussion by considering the impact of enhanced anti-scam measures against user experiences. Participants also referenced their own data to make a case for instances whereby transactions could be lost when additional verification steps are required in select instances.
The discussion also incorporated the latest issuances by the MAS, namely the E-Payments User Protection Guidelines (EUPG) and the Shared Responsibility Framework (SRF). Participants generally agreed that these measures were definitely a step in the right direction of mitigating scams and in the case of the SRF, to distribute responsibility among financial institutions, telecommunication operators, and consumers to create more robust defense against scams.
When discussing the SRF, participants noted that upon implementation the SRF would hold almost all financial institutions to the same standard. The general consensus amongst participants was that, the resources required to investigate scams would incur additional costs. However, participants agreed that the investment would almost certainly translate to tangible benefits for the industry as a whole.
Key takeaways:
The roundtable highlighted the critical role of technology, such as ML and AI, to enhance transaction monitoring and AML efforts. It emphasised the urgent need for continuous education and industry collaboration to outsmart increasingly sophisticated scammers. There was also a clear emphasis on the role of PSPs in combatting scams within the industry and the expectations from the regulator towards accomplishing this task.
The insights shared during the roundtable provided valuable perspectives on the current challenges and advancements in compliance within the Singapore payments industry. As the landscape evolves, proactive measures and collaboration will be key to protecting consumers and upholding financial integrity.
Thanks to all attendees for their invaluable contributions — we look forward to future engagements!