ML Pipeline Financial Services Insurance FastAPI

Real-Time Fraud Detection System

This transaction scanner reviews payment or claims data for unusual behaviour, applies explainable risk rules and produces an investigation queue. The aim is to help a fraud or compliance team decide what to review first.

96%
Detection Rate
0.4%
False Positive Rate
50K
Transactions / day
20ms
Inference Latency

Problem Statement

Fraud teams lose time when suspicious transactions are buried inside large operational datasets. This build shows how risk signals such as amount, channel, location and merchant behaviour can be combined into a clear triage view.

Business impact: Early detection reduces losses and improves trust in digital payment channels, while lowering manual review overhead.

Pipeline Architecture

A review flow from transaction data to risk scoring, triggered rules, exposure calculation and investigation actions.

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Stream Ingestion
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Feature Enrichment
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Anomaly Scoring
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Real-Time API
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Case Triage
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Investigative Review

Use Cases & Applicability

The pipeline is built for fraud prevention across banking, insurance, and digital payments.

Card Payments
Transaction Fraud
Detect suspicious card-present and card-not-present purchases before settlement.
Insurance
Claims Fraud
Score incoming claims against behavioural and historical patterns to spot anomalies.
Payments
Account Takeover
Flag unusual login and transfer activity in digital banking and microfinance platforms.
๐Ÿ“„ Full Documentation ๐Ÿ”ฌ Methodology Deep-Dive ๐Ÿงช Try the Sandbox โ†’