Preparing for the Bank of England’s Second System-Wide Exploratory Scenario (SWES): Next steps for private credit firms

2026 poses a new regulatory challenge to the UK private credit sector via the Bank of England’s (BOE) Second System-Wide Exploratory Scenario (SWES), an exercise that will require private credit and equity firms to demonstrate their resilience under plausible stress events.

In this article we explain what a stress test includes, the data challenges it presents and how our expert approach can help firms run a smooth, compliant and useful stress test exercise.

What is stress testing?

Stress testing and scenario analysis are key features of the BOE’s financial stability toolkit. The private markets SWES extends this system-wide approach into the private markets ecosystem, and it can be particularly challenging for firms participating for the first time.

In practice, a stress test evaluates the resilience of financial institutions against a possible downturn over a five-year period. The tests typically assess capital adequacy, specifically Common Equity Tier 1 (CET1) and leverage ratios, against hurdle rates to ensure banks can withstand losses.

What are the data challenges in first-time stress testing projects?

After the BOE’s widespread introduction of stress testing after the 2008 financial crisis, the UK’s financial institutions quickly identified several data challenges that either complicated or delayed the collection, reconciliation and reporting of the data needed for a stress test.

The main challenge for companies is simply getting a grip on their data: how complete it is, and whether it is of good quality. Historic gaps, missing fields and inconsistent definitions across systems can hinder a stress test, which in turn limits regulatory compliance.

This is connected to another problem: integration. A stress test draws data from multiple channels and systems at once. If a company is running on legacy infrastructure and depends on manual processes, the results are predictable – fragmented data, slow delivery times, and an increased chance of error.

There are several other persistent issues. Without clearly segmented data (think divisions by product, geography, and risk grade), stress test models will perform poorly. A lack of granular data can undermine a stress test’s credibility and may not provide any useful insights.

Beyond data, there are governance, ownership, and reporting challenges to consider. If it’s not clear who is responsible for overseeing a company’s data, and if there are no strong data governance frameworks in place, reconciliation and version control can quickly turn into a powerful administrative headache.

Regulatory stress tests also demand transparency, including clear audit trails, version control and documented assumptions. Without those foundations, even good analysis can become difficult to defend internally or explain to regulators.

The 4most approach

The private credit sector is facing a considerable regulatory burden. Stress tests can be complicated, especially if a company’s data is kept in an unstructured way, and the failure to complete a stress test could result in a severe regulatory intervention, not to mention a great deal of reputational damage.

However, the private credit sector has one major advantage. The BOE has been introducing new stress tests into the market for years. Our consultants at 4most have closely followed each development for more than a decade, and we know which approaches work best.

Our own approach to running a smooth and compliant stress testing exercise can be boiled down to six core steps:

1. Integrated data models

Our specialist consultants combine forecasts of loan repayments, defaults, costs, and income at account, segment, and portfolio levels. Once this process is complete, we link macroeconomic scenarios to cashflow projections, which creates a fuller picture of any projected risk.

2. Single performance dashboards

We aggregate outputs into a dashboard showing net interest income, credit losses and balance sheet impacts. We can then drill down into individual segments, creating a detailed analysis for the Board’s review.

3. Trend analysis and regulatory dialogue

Our expert teams identify and highlight emerging trends, helping clients to build commentary on drivers and mitigants.

4. Governance and sign-off

We embed controls for data lineage, versioning, and audit trails. We document all assumptions and scenario drivers and then present a summary for sign-off.

5. Regulatory submission

Our specialist consultants structure the stress test’s outputs to meet BOE templates. This ensures that there is a fully traceable journey from granular forecasts to regulatory summary tables.

6. Optional automation and alternate scenarios

We use automation to repeat runs, so forecasts can be refreshed quickly under alternative scenarios and with mitigating actions applied where relevant.

Want more guidance?

On paper, the BOE’s Second SWES may seem like a major obstacle for the UK’s thriving private credit sector. But with the right compliance approach, it can become a manageable regulatory obligation.

Our specialist team has supported major UK lenders and specialist firms to comply with PRA requirements for over a decade, backed with a wide-ranging expertise across ICAAP, stress testing, and enhanced analytics, supported by strong data and reporting solutions that adhere to the highest regulatory standards, including BCBS 239.

Send us an email if you want to learn more about how we can help your business deliver a smooth and compliant private credit stress test – info@4-most.co.uk.