No product dataset

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No product dataset; latent asset is cross-institution AML model tuning and lookback experience. The described work includes transaction monitoring lookbacks against alerts previously closed under potentially incorrect rules, scenario tuning and AML rule validation, model assessment and tuning of risk-based models, data sampling to quality-assure auto-close scenarios, and mapping the in-house tools and data sources used by financial crime and sanctions teams. Aggregated across engagements that implies a comparable library of which rule and scenario designs fail and how auto-close logic behaves on real populations, plus a tooling and data-source map of what compliance functions actually run. Client alert, model and transaction data is client-owned and engagement-confidential.