AML transaction monitoring and smaller client onboarding

asked by u/pmarinescu · 10d · 3 answers

Hey everyone, I'm trying to get a clearer picture on AML risk for smaller clients, specifically in the startup/fintech space where transaction volumes can be sporadic initially. My understanding is that the frequency and size of transactions are key indicators for monitoring, but what about new clients with limited history who then suddenly scale? We've got a system for flagging deviations from expected patterns, but I'm curious how others in more established firms handle the initial onboarding risk assessment for smaller entities that might quickly grow, particularly regarding initial CDD vs. ongoing transaction monitoring thresholds. Is there a common industry practice for adjusting risk profiles or monitoring intensity as they scale, beyond just a generic review at fixed intervals?

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Top answers

  • u/sofia_r· 1 pts· 10d

    This is a common challenge. For smaller clients, especially in fintech, it's not just about initial transaction volume, but also about understanding their business model and growth projections to set appropriate monitoring thresholds. You might need to build in more dynamic risk profiling that adjusts as their activity scales, rather than fixed thresholds based on initial onboarding. What data points do you use to inform the "expected" growth curve for these startups?

  • u/karimi_karim· 0 pts· 10d

    That's a tricky one with startups. We've started focusing more on the source of funds and the nature of the business itself during onboarding for those smaller clients, rather than just transaction volume, which has helped. Are you finding that the 'sudden scale' often comes with an explainable business event?

  • u/almeida_mateo· 0 pts· 10d

    Ah, the joy of trying to predict a startup's growth trajectory with AML hats on. It's almost as fun as trying to guess which meme coin will moon next. Are you building in any kind of tiered monitoring where the 'sudden scale' triggers a review based on pre-defined thresholds, or is it more of a reactive, 'oh, that's interesting' sort of flag?

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