AI Patient Engagement Specialist vs AI Payment Fraud Detection Specialist

B AI Payment Fraud Detection Specialist Only

• Supervised and unsupervised anomaly detection (Isolation Forest, Autoencoders, One-Class SVM)
• Feature engineering on transactional time-series data (velocity features, behavioral biometrics, device fingerprinting)
• Graph-based fraud detection using GNNs and entity resolution (link analysis, community detection)
• Handling extreme class imbalance (SMOTE, focal loss, cost-sensitive learning, negative sampling)
• Real-time ML inference pipeline design for sub-100ms latency decisioning
• Payment ecosystem knowledge (card networks, ACH/SWIFT/SEPA rails, PSD2/SCA, tokenization, 3DS)
• Adversarial ML and model robustness (drift detection, concept drift adaptation, model poisoning defense)
• LLM-powered investigation tooling (automated SAR narrative generation, alert triage copilots)