Built for banks, non-bank lenders and lending teams.
Explore how a reduction in defaults could affect your lending portfolio. Use your loan volumes, average loan amount and loss assumptions to estimate the potential financial benefit. Instant scenario estimate. No contact details required.
Explore how sharper risk assessment could affect defaults and credit losses. Enter your own portfolio figures, then set an improvement scenario. Results are estimates, not a forecast of Carrington Labs performance.
The value depends on more than the default rate. Lending volume, loan size and the amount lost after recoveries all affect the result.
Your current figures establish the baseline: how much you lend, how often loans default and how much is lost when they do.
An assumed reduction in defaults creates a comparison scenario. It is an input to test, rather than evidence of model performance.
The estimate translates the change into potential credit losses avoided. Where model enquiry costs are included, show their effect separately.
Carrington Labs develops credit risk models and analytics that help lenders distinguish between borrowers and assess potential changes to their lending strategy.
Develop a lender-specific risk model around your product, borrowers and observed repayment outcomes, using relevant data available to your business.
Assess model performance against an agreed baseline and explore potential changes in credit losses at a comparable approval level.
Receive model outputs through API or batch for use within your existing systems. Your team retains control over credit policy and final decisions.
Explore lender-specific credit risk models.
Learn about credit model validation and monitoring.
Move from an illustrative estimate to evidence from your own portfolio. Once we’ve agreed the scope and have your data, we run the PoC against your current approach and deliver the findings within 48 hours.
1
Choose the lending product, portfolio segment and outcome to test. Define the baseline and measures of success.
2
Review available data, clarify definitions and agree a secure transfer method. Requirements depend on the model and use case.
3
Evaluate the model and backtest the relevant scenario against historical outcomes, subject to the agreed scope and available data.
4
Compare results, assess potential business implications and agree whether to proceed, refine the scope or investigate further.
The 48 hours start once we’ve agreed the scope and your data is complete and ready. The PoC covers the agreed scope; production deployment is a separate step.
An agreed PoC can bring together model-performance findings and their potential financial implications, helping your team assess the case for deployment. Scope and deliverables are agreed before the 48-hour clock starts.
Explore the potential savings, then work with Carrington Labs to test the opportunity on your portfolio.
