Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
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Updated
Oct 5, 2026 - Python
Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
Agenten für regulatorische Prüfungen: Evidenz, Prüfkataloge und Reports für GwG, MaRisk und DORA. Alpha.
FinCrime-Architektur und Screening: Sanctions-Alpha, Observability-PoC und föderativer Blueprint.
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.
Autonomous AI agent that retrieves daily Financial Crime (FinCrime) news and provides a RAG-based QA chatbot interface for quick insights.
Payments & Transaction Services CA1: Crypto enforcement fines EDA + Decision Tree (Section 1), Credit Risk ML & DNN (Section 2). MSc FinTech — National College of Ireland.
Öffentliche Methoden und reproduzierbare Demos zur Watchdog-Serie Forensic Fincrime; kuratiertes Companion.
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
Öffentliche Enzyklopädie verantwortbarer Agentensysteme mit Governance, Wertbeitrag und Betriebskosten.
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.
RegTech-Lernplattform: Compliance-as-Code, Datenarchitektur und FinCrime-Labore. MVP mit Modulvorschauen.
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