Real-Time Risk Scoring for Payments Trading, FinTech & Analytics — Case Study

An ML-powered platform that assigns risk scores in milliseconds for instant transaction decisioning. Achieves 98% high-risk detection accuracy, integrates with Visa and Mastercard APIs, and reduces ch

Real-Time Risk Scoring for Payments

An ML-powered platform that assigns risk scores in milliseconds for instant transaction decisioning. Achieves 98% high-risk detection accuracy, integrates with Visa and Mastercard APIs, and reduces chargeback losses by 35%.

Category

Trading, FinTech & Analytics

Industry

Banking/Payments

Key Impact

Cut chargeback losses by 35%.

Challenge

Banks needed dynamic risk scoring for transactions.

Solution

ML assigns a risk score in milliseconds, enabling instant decisioning.

Key Achievements

  • 98% accuracy in high-risk flagging
  • Integration with Visa & Mastercard APIs

Tech Stack

  • Python
  • XGBoost
  • Kafka
  • AWS Lambda

Industry

Banking/Payments

Impact

Cut chargeback losses by 35%.

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Industry Context

Where this project sits in the bigger market picture

How we approach AI delivery for payments, banking, underwriting, and financial workflows.

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