Fraud Prevention with BigQuery Graph
Based in the UK, Curve are building a financial super-app, a smart wallet that consolidates all your debit and credit cards into a single app and card, simplifying how millions of users spend, send and save money.
However, operating at this scale means confronting a high-volume, ever-evolving landscape of financial crime. While traditional fraud detection models are excellent at flagging suspicious individual transactions, they often miss the "bigger picture"—the complex networks and hidden relationships that characterize organized fraud rings.
To uncover these connections, we realized we needed to move beyond traditional relational data modeling. By partnering with Google Cloud to implement BigQuery Graph, we’ve been able to conduct deep network analysis at scale, helping us identify hidden fraud networks and achieve significant transaction savings.
The Challenge: The Multi-Hop Problem
Fraudsters rarely operate in isolation. They often share a subset of attributes across multiple accounts—such as a common device, a...
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