Awesome-FCC

A curated list of Financial Crime Compliance (FCC) resources: transaction monitoring, trade surveillance, e-comms surveillance, fraud detection, case management, sanctions screening, KYC/KYB, graph analytics, datasets, regulations and more.

FCC spans AML/CFT, sanctions, AB&C, market abuse, fraud and investigative tooling. This list aims to be practical, vendor-neutral and signal-rich.

Table of Contents

• Vendor / Commercial Platforms
• Transaction Monitoring (AML)
• Trade Surveillance (Market Abuse)
• E-Comms / Conduct Surveillance
• Fraud Detection
• Sanctions & Screening
• KYC / KYB / Customer Risk
• Case Management & Investigation
• Graph & Link Analysis
• Graph Machine Learning
• Entity Resolution & Master Data
• Data Ingestion, ETL & Quality
• Synthetic Data & Simulators
• MLOps, Monitoring & Drift Detection
• Feature Engineering & Feature Store
• Explainability & Model Risk
• Benchmarks & Datasets
• Regulations, Standards & Typologies

Vendor / Commercial Platforms

Commercial tools are useful for discovery:

• Oracle Financial Crime and Compliance Management (FCCM) Solutions - Enterprise AML transaction monitoring/Mantas & case mgmt.

  • Official Page

• NICE Actimize - Cross-domain FCC suite (AML, fraud, trade/e-comms).

  • Official Page

• SAS AML / Fraud - Analytics-driven FCC platform.

  • Official Page

  • GitHub

• SymphonyAI NetReveal - AML, fraud and KYC risk.

  • Official Page

  • GitHub

• Quantexa - Entity resolution & network analytics.

  • Official Page

• Featurespace - Adaptive behavioral fraud analytics.

  • Official Page

  • GitHub

• Behavox / Shield / Smarsh - E-comms surveillance stacks.

  • Behavox Official Page

  • Shield Official Page

  • Smarsh Official Page

  • Smarsh GitHub

• Solidus / ACA / QuestDB - Trade surveillance.

  • Solidus Official Page

  • ACA Official Page

  • QuestDB Official Page

  • QuestDB GitHub

• Elliptic - Wallet & transaction screening for AML compliance

  • Official Page

Transaction Monitoring (AML)

• Apache Flink - Streaming engine for real-time TM pipelines.
  • GitHub

Trade Surveillance (Market Abuse)

• TimescaleDB - Time-series SQL for order book analytics.

  • GitHub

E-Comms / Conduct Surveillance

• spaCy / Hugging Face - NLP pipelines for policy violations, collusion cues.

  • spaCy GitHub

  • Hugging Face GitHub

Fraud Detection

• PyOD - Outlier detection toolbox for fraud features.

  • GitHub

• River - Online ML for streaming fraud detection.

  • Official Page

  • River GitHub

• XGBoost / LightGBM - Gradient boosting baselines for tabular fraud.

  • xgboost GitHub

  • LightGBM GitHub

Sanctions & Screening

• OpenSanctions - Sanctions & PEPs knowledge graph + entity data pipelines.

  • Official Page

  • GitHub

• FuzzyWuzzy / RapidFuzz - Name-matching baseline.

  • FuzzyWuzzy GitHub

  • RapidFuzzy GitHub

• OFAC SDN & Consolidated Lists - Official lists + update cadence, formats.

  • Official Page

KYC / KYB / Customer Risk

• Great Expectations - Data quality gates for KYC feeds.

  • GitHub

Case Management & Investigation

• Kibana/Elasticsearch - Query, pivot and visualize alert context.

  • Kibana GitHub

  • Elasticsearch GitHub

• OpenSearch - Elastic alternative for investigations.

  • OpenSearch GitHub

• Apache Superset - Investigation dashboards.

  • Apache Superset GitHub

Graph & Link Analysis

• NetworkX - Graph feature engineering (centrality, motifs).

  • GitHub

• Neo4j - Labeled-property graph DB for rings & money-mules.

  • GitHub

• Memgraph - Real-time graph with Cypher for streaming rings.

  • GitHub

• Graphistry - GPU visual analytics on alert clusters.

  • GitHub

Graph Machine Learning

• PyTorch Geometric - Graph neural networks for AML/fraud rings.

  • GitHub

• DGL (Deep Graph Library) - Scalable graph learning.

  • GitHub

Entity Resolution & Master Data

• Splink - Probabilistic entity resolution at scale.

  • GitHub

• Dedupe - Python entity resolution library.

  • GitHub

Data Ingestion, ETL & Quality

• Airflow - Batch orchestration for FCC pipelines.

  • GitHub

• Soda - Data quality testing and monitoring.

  • GitHub

• Pandera - Data validation for pandas pipelines.

  • GitHub

Synthetic Data & Simulators

• SDV (Synthetic Data Vault) - Tabular synthetic data generation for model dev.

  • GitHub

• Gretel / YData - Tools to generate privacy-preserving FCC datasets.

  • Gretel GitHub

  • YData GitHub

• FCC-Synthetic-TM - Reproducible FCC synthetic data factory for transaction monitoring - customers, accounts, transactions, alerts, cases - ready for analytics & model testing.

  • GitHub

• Faker - Synthetic customer/KYC generation.

  • GitHub

• Mimesis - Synthetic profile generation.

  • GitHub

MLOps, Monitoring & Drift Detection

• MLflow - Model tracking, registry, experiment mgmt for FCC models.

  • GitHub

• Evidently AI - Data drift, concept drift, monitoring.

  • GitHub

• WhyLabs / whylogs - Data quality & model monitoring.

  • GitHub

Feature Engineering & Feature Store

• Featuretools - Automated feature engineering.

  • GitHub

• Feast - Feature store for reusable FCC features.

  • GitHub

Explainability & Model Risk

• SHAP - Local/global explanations for FCC models.

  • GitHub

• LIME - Local explainability for suspicious activity scoring.

  • GitHub

• Fairlearn - Bias/fairness monitoring.

  • GitHub

Benchmarks & Datasets

• IEEE-CIS Fraud - Financial transactions fraud dataset (imbalanced).

  • Kaggle

• Elliptic Bitcoin AML - Crypto AML labels for addresses/tx.

  • Official Page

  • Kaggle

• PaySim - Mobile money fraud simulation dataset.

  • GitHub

• IBM AML Simulated Transactions Dataset

  • GitHub

  • Kaggle

• Kaggle Credit Card Fraud Detection

  • Kaggle

Regulations, Standards & Typologies

• FATF - Recommendations & typology reports (AML/CFT)

  • Official Page

• Wolfsberg Group

  • Official Page

• FinCEN Advisories

  • Official Page

• EU AML Directives / AMLA

  • Official Page

  • Official Page

• OFAC Guidance

  • Official Page

• FCA Market Abuse Guidance

  • Official Page

• BIS papers

  • Official Page