Summary

This bank credit risk Power BI report template was submitted to the Onyx Data DataDNA ZoomCharts Mini Challenge in September 2025.

It is a strong example of using Power BI for credit risk analysis, helping users monitor loan performance, risk exposure, borrower segments, and recovery potential.

Key Insights of Bank Credit Risk Power BI Report Template

The report is structured in two pages. The Borrower Profile page compares all borrowers with defaulters, while the Risk Exposure & Potential Recovery page focuses on loan exposure, potential losses, and recovery opportunities. Some of the main insights include:

• Borrower profile: total borrowers, loan amount, income, interest rate, defaulters, and default rate
• Default risk: borrower patterns by age, income, education, employment, and loan intent
• Loan exposure: risk by loan grade, purpose, geography, and borrower segment
• Recovery potential: recovery rate, loss potential, net loss, and portfolio loss percentage

With a clean design and interactive ZoomCharts visuals, this Power BI credit risk dashboard makes it quick and easy to identify high-risk borrower groups and analyze lending risk from multiple perspectives.

This report is based on the DataDNA challenge submission by Nina Ikpe and uses ZoomCharts Drill Down PRO visuals for Power BI.

How to Use This Bank Credit Risk Power BI Report Template

To interact with this Power BI credit risk report, simply click on any active element directly on the charts.

Download the .pbix file to see the report structure, settings, formulas, and calculations. Try it out with your own lending data by making a few adjustments.