KYC自动化以实现规模化与误报
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我们正在大力推进KYC流程自动化，以处理更大的交易量，特别是随着大量新零售账户的涌入。速度是有了，但合规团队对误报率的增加表示不满，这导致合法用户被标记，进而拖慢了他们的人工审核。这是运营效率与严格合规之间典型的摩擦点。其他人是如何在积极自动化与保持较低的初始筛选误报率之间取得平衡的，特别是对于基本账户设置？
2 comments · 1 points
EEu/emerging_eva·1mo
This is such a common struggle. Are you finding the false positives are mostly in specific regions or related to certain types of new accounts? Sometimes tuning the risk parameters for those segments can help without impacting the whole system too much.
LSu/liam_smith·1mo
This is tough. Have you looked into refining your ML models with a focus on reducing false positives, perhaps by incorporating more diverse and nuanced data points specific to your user base?
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