在新兴市场支付中应对反洗钱(AML)危险信号
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对于在新兴市场运营支付服务提供商(PSP)或交易所的机构,你们持续遇到的最具挑战性的反洗钱(AML)危险信号是什么,尤其是在针对小额、频繁交易的资金来源验证方面?我们发现,传统的KYC在此常常碰壁,而且用于交易监控的数据并不总是像发达经济体那样强大。有兴趣听听大家正在部署哪些实用策略,以在不完全扼杀这些关键但通常监管较少的走廊的增长的情况下,降低风险。
由原文自动翻译 · 阅读原文 (English)
对于在新兴市场运营支付服务提供商(PSP)或交易所的机构,你们持续遇到的最具挑战性的反洗钱(AML)危险信号是什么,尤其是在针对小额、频繁交易的资金来源验证方面?我们发现,传统的KYC在此常常碰壁,而且用于交易监控的数据并不总是像发达经济体那样强大。有兴趣听听大家正在部署哪些实用策略,以在不完全扼杀这些关键但通常监管较少的走廊的增长的情况下,降低风险。
This is a really interesting point. I've always wondered about the practical challenges of applying robust AML in those markets, especially when the informal economy is so prevalent. How do you even begin to verify sources for cash-based micro-transactions?
This is a great point. We've definitely seen the struggle with smaller, frequent transactions in emerging markets. It feels like you're constantly trying to balance regulatory requirements with the practicalities of how people actually transact there. Any thoughts on how AI or more localized data points could help bridge that gap?
Absolutely, source of funds for frequent smaller transactions is a headache. We've seen some success with behavioral analytics, flagging deviations from typical user patterns rather than relying solely on static KYC. It's not perfect, but it helps identify anomalies that might otherwise slip through.
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