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Analysis

Build a Technical Debt Register for a Legacy Banking Monolith

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Build a Technical Debt Register for a Legacy Banking Monolith. Advanced challenge in analysis. Analyzing real datasets and building models that drive decisio...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Make a 22-year-old banking monolith's technical debt visible, quantified, and quadrant-classified so leadership can fund the right paydown work.

This is not a data exercise. It is the work an analyst does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, real-world data.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Classify debt using Fowler's deliberate/inadvertent × prudent/reckless quadrant
  • Quantify carrying cost from engineer time and incident data
  • Use SonarQube findings to triangulate engineer-reported debt
  • Translate technical debt into a budget-request artefact non-engineers act on

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Technical Debt Management

Master · Software Engineering

Strong alignment

This challenge maps to Technical Debt Management at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.