Analytical Approach
How transaction monitoring, alert review, and risk assessment are handled with consistency, judgment, and restraint.
Review Context
- Confirm what triggered the alert review.
- Check the customer profile and stated account purpose.
- Review prior account and transaction activity to establish a normal baseline.
Activity Evaluation
- Perform transaction monitoring by comparing current activity to the baseline.
- Look for meaningful changes in timing, amount, frequency, or other parties involved (counterparties).
- Identify unusual activity based on behavior changes.
- Separate confirmed facts from assumptions.
Risk Assessment and Judgment
- Conduct a risk assessment using available account information.
- Identify the primary risk indicator driving concern.
- Note secondary indicators that support elevated risk.
- Distinguish unusual activity from potentially suspicious activity.
- Adjust the risk view when customer behavior changes.
Escalation Decisions
- Escalate cases when multiple risk indicators appear together.
- Escalate when activity clearly breaks from the customer’s normal pattern.
- Escalate based on risk indicators, not certainty or intent.
- Record the trigger point that required escalation.
Documentation Standards
- Write short, factual case notes and alert summaries.
- Capture who was involved, what occurred, and when it happened.
- Explain why the activity required review or escalation.
- Maintain documentation that supports audit, compliance, and SAR-related review when applicable.
Role Boundaries
- Do not assume customer intent.
- Do not label activity as suspicious without review.
- Do not act outside analyst scope.
- Do not contact customers directly.
- Do not bypass required review or escalation steps.
Why This Approach Works
- Supports consistent alert review and transaction monitoring decisions.
- Improves escalation timing and accuracy.
- Produces review-ready, audit-defensible documentation.
- Reduces AML, fraud, and financial crime risk.
Demonstration of Skills
Skills are demonstrated through structured training and fictional AML case examples.