use cases

Build a credit risk model around your portfolio

Move beyond a generic score with a model developed for your product, borrowers, performance outcomes, and lending strategy.
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Explore the Credit Risk Model

The problem

A general-purpose score can be useful, but it was not necessarily developed for your product, customer population, acquisition channels, repayment structure, or definition of credit loss. Two lenders can serve different borrowers, offer different amounts and terms, apply different policies, and define default differently, so a score that performs well across a broad market may not separate risk best for your book.

How Carrington Labs can help

Model the outcome that matters
Define the target using your product, performance horizon, repayment structure, and bad-outcome definition.
Use the data you have
Combine suitable application, bureau, internal performance, transaction, product, and repayment data.
Benchmark, validate, deploy
Compare against your current approach, validate discrimination and calibration, then deliver via API or batch.
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How this fits in your workflow

Magnifying glass on an ID.
Define the use case and outcome
Agree the product, population, performance horizon, target event, and intended model use.
A Computer.
Develop and validate
Build candidate models, then assess discrimination, calibration, stability, and segment performance.
A Person giving a pitch infront of a graph.
Deploy and monitor
Deliver outputs through API or batch and monitor performance and stability over time.

Who is this for

Carrington Labs supports lenders aiming to responsibly expand access.
  • Digital lenders
  • Issuers
  • Fintechs
  • Financial Institutions
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What a Carrington Labs model uses and returns

Inputs it can use
Application, bureau, internal repayment, portfolio, product, and (where available) customer-permissioned transaction data. Transaction data is not required.
Outputs it returns
Probability-of-default estimates, risk scores or segments, explainable drivers, benchmark and calibration results, and simulations, via API or batch.
You keep control
Carrington Labs provides model outputs and analytics. The lender retains control over policy, approvals, declines, and customer treatment.

FAQs

How is a lender-specific model different from a generic credit score?
A lender-specific model is developed against the lender's product, customers, data, and observed outcomes. A generic score is developed for broader use and may target a different population, outcome, or performance horizon.
Do we need transaction data?
No. A model can use application, bureau, internal repayment, portfolio, and other suitable data. Transaction data can be included when it is available and relevant.
Can Carrington Labs improve an existing model?
Carrington Labs can benchmark an existing model, identify areas of weak separation or calibration, and develop a challenger model using the available data.
Can the model be validated before deployment?
Yes. Historical validation, out-of-time testing, and strategy simulation should occur before production use, subject to the volume, maturity, and quality of available data.
Does the model replace our decision engine?
No. The model supplies risk estimates and explanatory outputs. The lender's decision engine or policy framework continues to execute the decision.

Related resources

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Near-prime borrowers vary widely within one score band. See how custom, lender-specific score models turn existing bureau, application, or transaction data into better risk separation.

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Guide & Explainer

Credit Risk Modelling Services: Why Lender-Specific Models Matter

Credit risk modelling services help lenders build lender-specific models that improve approval quality, pricing precision, margin, and portfolio performance.

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What Is a Custom Credit Risk Model as a Service?

A custom credit risk model as a service explained: what it is, how it differs from generic scores, and what to look for in a provider.

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Alternative Data vs. Alternative Models: Why Better Credit Decisions Depend on More Than Better Data

Alternative data is becoming standard. Learn why the real competitive edge in lending now comes from the models that turn that data into decisions.

Read Article

Explore solutions

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Credit Risk
Model
Financial Health
Summary
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Carrington Labs is a registered business of Beforepay Group Limited, Suite 9.01, 77 Castlereagh Street, Sydney NSW 2000. Copyright © 2026 Beforepay Group Ltd, ABN: 63 633 925 505. Terms and conditions apply. New customers are subject to eligibility criteria.

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