Fraud Detection & Explainability System
What this system is for
A cost-sensitive fraud scoring system with threshold optimization, explanations and investigation prioritization.
Reference economics
10,000 decisions → 1pp operating improvement → 100 decisions affected.
Reference arithmetic, not a measured client result.
10k
Reference scenario
1 pp
Illustrative improvement
100
Decision value
The success story in 30 seconds
Business problem
Accuracy alone cannot choose a lending, fraud or review threshold. The business needs expected loss, false-positive cost and capacity constraints.
What changed
Calibrate the probability estimate.
Business utility
The commercial outcome comes from better allocation of risk and review capacity, not from a higher headline accuracy.
Decision
Risk & decision
System
Fraud Detection & Explainability System
Validation
PR AUC · Fraud recall
Core stack
Python · XGBoost · SHAP