Design a Transaction Risk Scoring System

Scenario

You are building an ML system for a financial platform that must score incoming transactions in real time and help decide whether to approve, review, or block them. The system must learn from historical activity and adapt as fraud patterns and user behavior change.

Question

How would you approach designing a system to handle millions of transactions per second?

Problem

Scenario

Question

How would you approach designing a system to handle millions of transactions per second?

What this tests

Real-time model serving at very high throughput
Online and offline feature store design
Risk scoring and policy thresholding
Drift, skew, and production monitoring

Problem

Scenario

Question

How would you approach designing a system to handle millions of transactions per second?

What this tests

Real-time model serving at very high throughput
Online and offline feature store design
Risk scoring and policy thresholding
Drift, skew, and production monitoring

Problem

Scenario

Question

How would you approach designing a system to handle millions of transactions per second?

What this tests

Real-time model serving at very high throughput
Online and offline feature store design
Risk scoring and policy thresholding
Drift, skew, and production monitoring

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Scenario

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What this tests

Problem

Scenario

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What this tests

Design a Transaction Risk Scoring System

Problem

Scenario

Question

What this tests

Problem

Scenario

Question

What this tests