Assess whether the model score is a false positive from a life event (6f46ea)

SITUATION After a mule account receiving 14 unrelated payrolls in a week, bust-out credit-line utilization curve is what account-opening quality reviewer can touch in a mortgage correspondent channel. Fraud Detection will live with Remove access or reverse the item versus Temporary compensating control on this Claims and Benefits Fraud file.

DECISION Account-opening quality reviewer in a mortgage correspondent channel must choose Remove access or reverse the item / Temporary compensating control / Approve a documented exception / Hold using bust-out credit-line utilization curve after a mule account receiving 14 unrelated payrolls in a week.

HYPOTHESES TO TEST 1. A mule account receiving 14 unrelated payrolls in a week is noise around an already-controlled Claims and Benefits Fraud process in a mortgage correspondent channel, given bust-out credit-line utilization curve. 2. A mule account receiving 14 unrelated payrolls in a week is the event in bust-out credit-line utilization curve that forces Remove access or reverse the item for account-opening quality reviewer under Fraud Detection. 3. Bust-out credit-line utilization curve shows a one-file miss after a mule account receiving 14 unrelated payrolls in a week, not a Claims and Benefits Fraud program failure. 4. Bust-out credit-line utilization curve cannot decide the model score is yet after a mule account receiving 14 unrelated payrolls in a week; hold is the only Fraud Detection close a mortgage correspondent channel can defend.

ANALYSIS REQUIRED 1. Map typology and hold authority account-opening quality reviewer actually has in a mortgage correspondent channel. 2. Trace funds, counterparties, and reversals in bust-out credit-line utilization curve through the window opened by a mule account receiving 14 unrelated payrolls in a week. 3. Quantify loss if the hold is released before bust-out credit-line utilization curve is complete. 4. For this Fraud Detection Claims and Benefits Fraud file, read bust-out credit-line utilization curve against a mule account receiving 14 unrelated payrolls in a week and write the one fact that would move the model score is for account-opening quality reviewer.

RECOMMENDATION Choose Remove access or reverse the item / Temporary compensating control / Approve a documented exception / Hold on this Fraud Detection / Claims and Benefits Fraud packet (bust-out credit-line utilization curve after a mule account receiving 14 unrelated payrolls in a week). The follow-on Claims and Benefits Fraud action is what account-opening quality reviewer does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line Fraud Detection option on the model score is, then the evidence in bust-out credit-line utilization curve, then the action for account-opening quality reviewer - Hypothesis scorecard against bust-out credit-line utilization curve: supported / rejected / untestable - Regulatory or exam hook Claims and Benefits Fraud would cite - Claims and Benefits Fraud finding in bust-out credit-line utilization curve that a second reviewer can re-perform