Machine Learning for Credit Risk

Lending institutions can gain an edge on the competition by determining what happens when a loan gets booked elsewhere. With loan loss analysis, lenders can learn more about where these lost loans are booked, the average loan amount, the interest rate, the loan term length, and the average risk score.

Analyzing this information can help lenders:

• Improve lead quality
  
• Target the right consumers
  
• Acquire more high-quality loans
  
• Increase cross-sell opportunities

Relying solely on traditional credit scores can leave you with a limited view into consumers’ financial stability.

See how integrating alternative data can help you:

• Identify more qualified borrowers
• Spot potential risks
• Strengthen portfolio performance

Even in an uncertain economy, lenders can drive sustainable growth by leveraging cashflow data.

Learn how cashflow data can help lenders:

• Expand market reach
• Uncover distinctive insights
• Improve predictive accuracy

Reaching the right consumers with credit offerings can be challenging without the right technology. Our optimized prescreen model and strategy service, Ascend Intelligence Services™ Target, can help organizations identify consumers who meet credit offer criteria, increasing the likelihood of positive responses.

With access to Experian’s historical data, financial institutions can:

• Identify the consumers who meet their credit criteria 
  
• Increase the likelihood of positive responses to their offers 
  
• Get the most ROI out of their marketing campaigns while staying within budget

By optimizing their prescreen strategies, organizations can reach more of the right consumers to grow their customers bases and drive revenue.