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Take your financial analysis skills to the next level with this high-fidelity, synthetic credit risk dataset. Built to simulate real-world corporate lending scenarios, this Excel file gives you the tools to practice credit analysis, risk modeling, and portfolio management with confidence.
Whether you're an aspiring analyst, fintech builder, or finance student, this dataset provides a realistic environment to sharpen your skills and build standout projects.
Understanding credit risk requires more than theory—you need data that behaves like the real world.
This dataset is carefully designed with:
Logical financial relationships
Realistic business scenarios
Built-in risk evaluation mechanisms
So you can practice making decisions the way professionals actually do.
Diverse companies across high-growth and stable industries
Includes SaaS, FinTech, Infrastructure, Energy, and Manufacturing
Each record includes key financial metrics such as:
Revenue
EBITDA
Total Debt
Interest Expense
These variables are structured to reflect real corporate financial behavior.
Perform full financial analysis using core company metrics that mirror real financial statements.
Save time and focus on analysis with built-in ratios:
Debt/EBITDA (Leverage Ratio)
DSCR (Debt Service Coverage Ratio)
Current Ratio
Perfect for evaluating a company’s financial health and repayment ability.
Go beyond static data with performance tracking:
Days Sales Outstanding (DSO)
Payment Status categories (Current → 90+ Days Past Due)
A powerful built-in Excel formula automatically assigns:
Low Risk
Medium Risk
High Risk
Based on the company’s financial condition—ideal for learning automated scoring systems.
Color-coded conditional formatting
Frozen panes for easy navigation
Filterable headers for quick analysis
No setup required—start analyzing immediately.
Use this dataset to build practical, portfolio-ready projects:
Credit risk dashboards (Power BI / Tableau)
Financial modeling in Excel
Automated credit scoring systems
Portfolio risk analysis
Credit memos and case studies
Build a strong portfolio by working with realistic credit data and showcasing your analytical skills.
Test and prototype:
Credit scoring algorithms
Revenue management tools
Accounts receivable (AR) systems
Perfect for teaching and learning:
Financial ratio analysis
Credit modeling
Risk assessment frameworks
Format: Microsoft Excel (.XLSX)
Size: 500 Rows × 13 Columns
Download: Instant
Editable: Yes (No password protection)
If you want to work in finance, lending, or fintech, you need to understand how risk is evaluated in real life.
This dataset gives you:
Realistic financial relationships
Hands-on modeling experience
Portfolio-ready project opportunities
Download the dataset and start building:
Credit risk models
Financial dashboards
Real-world case studies
If you’d like, I can also help you:
Create a landing page design for your website
Build a Power BI dashboard from this dataset
Write SQL queries for credit risk analysis
Create a full portfolio project around this dataset