Why Lenders are Looking Beyond Payslips and Bank Statements

For decades, lending decisions have relied on a familiar set of indicators. Income, bank statements, existing debt obligations and repayment history have formed the foundation of risk assessment.

Those measures remain important, but they no longer tell the full story.

In a world where data is becoming increasingly sophisticated, financial institutions are asking a broader question. Rather than simply assessing whether an individual can afford a loan today, they are trying to understand whether that person is likely to remain financially resilient tomorrow.

This shift is particularly relevant when it comes to long term lending.

A six-month snapshot of someone’s finances may provide insight into their current circumstances but it reveals very little about their future earning potential, career progression or ability to navigate economic change over the next ten or twenty years.

As a result, lenders are increasingly exploring a wider range of data points to build a more complete picture of risk.

One of those data points is qualifications.

This is not because a qualification automatically makes someone a better borrower. Nor does it guarantee financial success. What qualifications can provide, however, is valuable insight into employability, career opportunities and future earning potential.

South African labour market data demonstrates this relationship clearly.

According to Statistics South Africa, young people with a university qualification experience an unemployment rate of over 23%. By comparison, unemployment rises to 37.3% among those with other tertiary qualifications, 47.6% for those with matric and 51.6% for those without matric. These figures highlight a simple reality. The higher an individual’s level of education, the greater their likelihood of participating successfully in the economy.

For lenders, that matters.

When assessing a home loan, vehicle finance agreement or business funding application, the question is not only whether an applicant earns enough today. It is also whether they are likely to maintain or improve their earning capacity over time.

A newly qualified engineer may not yet have an extensive employment history. A healthcare professional may only recently have entered the workforce. A technology specialist may still be building their career. Yet each of these individuals may possess strong long term earning potential that is not immediately visible through bank statements alone.

This is where data is changing the conversation.

Traditional lending models have historically focused on past behaviour. Modern risk models are increasingly incorporating indicators that provide insight into future potential.

As lenders expand the range of data they consider, the accuracy and reliability of that information becomes increasingly important. The value of any risk model depends on the quality of the data that informs it.

Qualification data is a good example. While educational achievement may provide useful insight into employability and future earning potential, that insight is only meaningful if the information can be trusted. Verified qualification data gives organisations greater confidence in the information they are using to support decision making, helping them reduce uncertainty and make more informed assessments.

In a world where data is becoming a strategic asset, trusted data is becoming a competitive advantage.

Qualifications form part of that broader picture because they can signal specialised skills, access to employment opportunities and the ability to participate in sectors where demand remains strong.

Importantly, qualifications should never be viewed in isolation.

Financial institutions still need to consider affordability, repayment history, existing debt exposure and broader economic conditions. Risk assessment remains a complex exercise that requires multiple data sources working together.

However, the days of relying solely on payslips and bank statements are rapidly disappearing.

As competition increases and lenders seek to make better quality decisions, there is growing recognition that understanding a person’s future prospects can be just as important as understanding their financial history.

The most successful lenders will be those that move beyond a narrow view of risk and embrace a more holistic understanding of the people behind the applications.

In the data driven economy, qualifications are no longer simply records of academic achievement.

They are becoming part of a much bigger conversation about employability, opportunity and long term financial resilience.

By Jennifer Barkhuizen – Mettus Head of Marketing