Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
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Updated
Aug 1, 2026 - Python
Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
Autonomous AI agent that retrieves daily Financial Crime (FinCrime) news and provides a RAG-based QA chatbot interface for quick insights.
Advanced fraud detection pipeline on ULB Credit Card dataset (284,807 transactions). Covers SMOTE, XGBoost, LightGBM, threshold tuning, and explainability. MSc FinTech — Payments & Transaction Services CA2.
Anti-money-laundering (AML) transaction monitoring in Python: rule-based detection of laundering typologies (structuring/smurfing, rapid movement, high-risk corridors, dormancy activation) + isolation-forest anomaly layer, alert triage, and SAR-style case files. Detection recall and false-positive rate measured against labeled synthetic injects.
Chainalysis blog scraper. Dynamic and can be used for any tag, I focused on their articles about the Lazarus Group.
AML Transaction Monitoring Rule Engine — detecting structuring, smurfing, layering and cross-border risk patterns across 9.5M transactions using SQL, Excel and Power BI
Payments & Transaction Services CA1: Crypto enforcement fines EDA + Decision Tree (Section 1), Credit Risk ML & DNN (Section 2). MSc FinTech — National College of Ireland.
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