Finance Case Study
Northend Group
A credit risk model built with explainability requirements from the start.
-20%False Positives
The Challenge
Where things stood before
Northend Group came to us with a problem that had been building for a while: manual review processes that were both slow and inconsistent.
Their team suspected the root cause but hadn't had the bandwidth to actually address it properly.
The Solution
What we built
Rather than jumping straight to a fix, we spent time understanding the specific shape of the problem first.
From there, a credit risk model built with explainability requirements from the start, built specifically around what Northend Group needed.
- Structured so Northend Group's own team could maintain it going forward
- Benchmarked against clear, agreed-upon success metrics from day one
- Built using Python and Node.js for a stable, maintainable foundation
- Delivered within a 8-week timeline without cutting scope
Results
The impact, by the numbers
-20%
False Positives
-48%
Review Time
+39%
Reporting Accuracy
-39%
Close Time Saved
Tech Stack
Built with
PythonNode.jsSQLscikit-learn
Overlook Group
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