How banks can exploit IFRS 9 system

 Investing in data quality, automation, and the skills of finance, risk, and credit teams improves the reliability and timeliness of inputs and makes models easier to maintain.

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Eight years after International Financial Reporting Standard 9 (IFRS 9) came into force, many banks still treat Expected Credit Loss (ECL) models as a box-ticking exercise.

That is a missed opportunity. The same tools built for compliance can sharpen decision making, improve pricing, and strengthen balance sheets. The question is not whether ECL adds value, but how quickly banks can turn it into a core part of strategy.

Progress so far has been mixed. Models have moved from basic spreadsheets to automated systems connected to source data, but the skills and governance around them vary widely.

Some banks have invested in internal capability and are seeing the benefits; others remain reliant on external consultants.

Global evidence mirrors this gap, with few organisations confident in the quality of their ECL data and outcomes or their ability to use it in day-to-day decisions.

The first source of strategic value is better monitoring of loan performance. IFRS 9 requires banks to classify loans as performing, underperforming, or nonperforming and to watch for early signs of deterioration.

When these signals are embedded into performance dashboards, teams can act sooner by renegotiating terms, restructuring facilities, or intensifying collections.

Recovery metrics also tell a powerful story: they show how effective collections are, whether collateral is properly documented and enforceable, and how long recoveries take. Used well, these insights help banks tighten credit operations and reduce long-term losses.

The second is stronger risk management through forward-looking scenarios. IFRS 9 requires banks to incorporate macroeconomic paths into their models, drawing on indicators such as GDP growth, inflation, unemployment, interest rates, and exchange rates.

This discipline is ideal for stress testing and scenario planning, and it should feed directly into capital planning and portfolio decisions. Many banks have already adapted their ECL models to estimate capital needs for internal assessments.

Done thoughtfully, ECL becomes a capital optimisation tool, helping management prioritise capital deployment, rebalance exposures, and decide when to enter or exit products or markets

With the rapid acceleration of climate risk rises, banks can begin to layer climate scenarios into their ECL calculations. Even with climate data still maturing, this gives clearer views of potential exposures and supports green lending strategies aligned to sustainability goals. It also starts to build a more accurate picture of how extreme weather, energy transition, and policy changes could affect borrowers and collateral over time. Banks that start now will be better prepared for shifting regulations and investor expectations.

The third source of value is smarter pricing of loan products. IFRS 9 pushes banks to segment portfolios by shared risk characteristics and to track long run patterns of default and loss for each segment.

Those metrics should sit at the heart of pricing, alongside funding and operating costs. Treating expected loss as a cost of risk improves price discipline, encourages more careful product design, and helps lenders differentiate between lower and higher risk borrowers. The payoff is practical: fair pricing for safer segments, appropriate premiums for riskier profiles, and a tighter link between the pricing book and the budgeting process.

Unlocking these benefits depends on governance, capability, and collaboration. Boards and executive teams should set clear accountability for model ownership, agree on how often models are reviewed and validated, and insist on robust policies and documentation. Strong oversight signals that ECL is not a niche technical task, but a core lever of performance and resilience.

Capability and infrastructure matter just as much. Investing in data quality, automation, and the skills of finance, risk, and credit teams improves the reliability and timeliness of inputs and makes models easier to maintain. Collaboration is nonnegotiable. IFRS 9 was never meant to be a burden.

When used well, it is a lens that brings risk into sharper focus and a bridge between compliance and commercial performance.

Banks that move beyond the narrow view of ECL and put it at the centre of how they plan, price, and manage risk will build more resilient, forward-looking institutions. In a region where volatility and opportunity sit side by side, that shift is not just good practice. It is a competitive advantage.

The authors are consultants in actuarial, assurance and financial services at PwC Kenya and PwC Tanzania

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