How to build a credit risk management framework

Credit risk management is the discipline of deciding, in advance and in writing, how much exposure you are willing to carry against a counterparty — and then keeping that decision under review. Most bad debt is not the result of a reckless decision at onboarding; it is the result of a reasonable decision that nobody revisited. A framework exists to make the first decision consistent and the second one automatic.

1. Start with a written credit policy

A credit policy states what the business will accept: maximum exposure per counterparty, per sector and per country; standard payment terms; the score thresholds that trigger prepayment, security or refusal; and who is allowed to approve an exception. Without it, every credit decision is negotiated individually and the portfolio drifts towards whoever argues hardest.

2. Verify the entity before you analyse it

Confirm the registered entity, its group structure, shareholders and ultimate beneficial owners before any financial analysis. A strong score on the wrong legal entity is worse than no score at all — it creates documented confidence in an exposure you have not actually assessed. Group structure also determines aggregation: three subsidiaries with modest limits can add up to a concentration that no single approval ever considered.

3. Score every counterparty the same way

Combine filed financials (liquidity, leverage, profitability, cash generation), observed payment behaviour, corporate structure and external context — sector, country, sanctions and adverse media — into a single score and a recommended limit. The value of a scoring method is not that it is perfect but that it is uniform: comparable decisions can be defended, audited and improved.

4. Translate the score into commercial terms

A score is not a decision. Convert it into a limit, payment days, and any mitigation — prepayment, guarantee, retention of title or credit insurance. Record the rationale, and record exceptions separately so you can measure later whether overrides performed better or worse than the model.

5. Monitor continuously, not annually

Risk moves between reviews. Filings, charges, insolvency events, ownership changes, court judgments and adverse media all arrive on their own schedule. Continuous monitoring with alerts turns those events into an action — reduce the limit, tighten terms, ask for security — while there is still time to act. An annual re-score simply confirms the loss after it has happened.

6. Close the loop with collections

Escalate on defined ageing triggers rather than on relationship instinct, and feed actual payment outcomes back into scoring. Your own ledger is the highest-quality data you will ever have about how your customers behave; a framework that never learns from it is only half built.

Where teams usually go wrong

Three failures recur. Exposure is measured per entity rather than per group. Monitoring covers only the largest accounts, while losses arrive from the mid-tier. And credit risk is assessed in isolation from compliance, cyber and country risk, even though the same counterparty carries all of them at once. A framework worth the name aggregates exposure to the group, monitors the whole book, and reads credit risk alongside every other exposure the counterparty brings.

— RisQo Research Team, Infocredit Group