Real-Time Fraud Detection
Real-Time Financial Fraud Detection Platform: streaming ingestion, a lakehouse and machine learning in one pipeline on Azure.
From the brief to the build.
The Challenge
Suspicious trading activity across financial and cryptocurrency markets has to be identified as it happens. That takes streaming data ingestion, a modern lakehouse architecture and machine learning working as a single end-to-end pipeline, from raw market data to actionable fraud alerts.
The Solution
A fully cloud-native, real-time fraud detection system built on Microsoft Azure. Live trading data is ingested, processed and scored as it arrives, then surfaced in dashboards and routed to alerting workflows. The platform is secured end to end with Azure Entra ID, RBAC and Key Vault-managed secrets, backed by built-in monitoring and CI/CD pipelines for reliable, continuous delivery.
- Type
- In-house product
- Category
- Cloud & Data Engineering
- Services provided
- Cloud & Data Engineering
- Machine learning engineering
- Related service
- Tech stack
- Azure Event HubAzure DatabricksDelta LakeDatabricks Model ServingAzure Entra IDAzure Key VaultApache Spark Structured StreamingIsolation ForestXGBoostPower BICI/CD
The pieces that made it work.
Streaming ingestion
Live trading data is ingested through Azure Event Hub and processed in real time using Apache Spark Structured Streaming on Azure Databricks.
Medallion lakehouse
The pipeline follows a medallion (Bronze / Silver / Gold) architecture built on Delta Lake, producing engineered features: trade velocity, volume anomalies and trader behavior patterns.
Fraud detection models
Isolation Forest and XGBoost models are trained to detect known manipulation tactics such as wash trading, spoofing, layering and price manipulation, alongside unsupervised detection for previously unseen fraud patterns.
Live scoring, dashboards and alerts
Risk scores are generated live through a Databricks Model Serving endpoint, visualized in interactive Power BI dashboards, and routed to automated alerting workflows for immediate response.
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