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canadian-banking

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PostgreSQL project for Canadian banking analytics, covering risk, fraud, loans, KPIs, SLAs, data quality, advanced SQL, and Docker.

  • Updated Jul 29, 2026
  • SQL

AML & Transaction Monitoring analytics for Canadian BFSI — SQL detection rules (structuring, layering, rapid movement), threshold tuning, Isolation Forest anomaly detection, and FINTRAC compliance reporting (STR/LCTR/EFTR). Built with PostgreSQL, Python, and Jupyter. Aligned to PCMLTFA · OSFI B-8 · FATF 40.

  • Updated Mar 28, 2026
  • Python

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