AI Fraud Detection Specialist vs AI Genomics Data Analyst

A AI Fraud Detection Specialist Only

• Anomaly detection using statistical and ML methods (Isolation Forest, Autoencoders, DBSCAN)
• Graph neural networks and entity-resolution techniques for detecting fraud rings
• Feature engineering on transactional, behavioral, and device-fingerprint data
• Real-time streaming ML pipelines using Kafka, Flink, or Spark Structured Streaming
• Natural language processing for phishing email and synthetic document detection
• Explainable AI (SHAP, LIME) for regulatory-compliant model interpretability
• Adversarial machine learning concepts - understanding model evasion and robustness
• SQL and Python for large-scale data exploration, ETL, and model prototyping