KYC/AML Compliance Automation Pipeline

The Problem

Manual KYC/AML processes took 2-3 days, creating poor customer experience and causing significant signup abandonment. Compliance teams manually reviewed documents with error-prone workflows that couldn't scale. FINTRAC reporting for Large Cash Transactions (LCTR), Suspicious Transaction Reporting (STR), and Electronic Funds Transfer Reporting (EFTR) required precise data attribute mapping across multiple source systems.

My Contribution

I owned requirements analysis and compliance alignment for this KYC/AML automation initiative at a major Canadian bank. I extracted and mapped FINTRAC-specific data attributes across source systems, defined the transformation and validation rules for LCTR, STR, and EFTR reporting, and facilitated workshops with AML and compliance teams to define automated decision thresholds. I analyzed and cleansed datasets to improve data quality prior to system integration, designed the UAT framework with compliance officers to validate regulatory accuracy, and collaborated with AML stakeholders to implement robust validation and enrichment processes that met FINTRAC audit standards.

Process

1. 1

   Regulatory Mapping

   Extracted and mapped FINTRAC-specific data attributes across source systems, defining the required capture and transformation for LCTR, STR, and EFTR.

2. 2

   Compliance Workshops

   Facilitated sessions with AML and compliance teams to validate automated approval thresholds and define escalation criteria for edge cases.

3. 3

   Data Quality

   Profiled, cleansed, and standardized source datasets; documented anomalies and established validation rules for source-to-target integrity.

4. 4

   UAT & Sign-off

   Ran parallel manual reviews for 3 weeks, validating automated decisions against compliance officer judgements before full cutover.

The Solution

Requirements-led automation: FINTRAC data attribute mapping, transformation rule definition, compliance threshold workshops, data quality assessment and cleansing, and a structured UAT process run in parallel with manual review for 3 weeks before switching to automated flow.

Results

• Onboarding reduced from 3 days to under 5 minutes
• 99.5% data extraction accuracy
• 87% of applications auto-approved without human review
• 92% reduction in manual review queue
• 100k+ applications processed with zero compliance incidents

Tech Stack