Woolworths Financial Services Graduate Programme Opens Credit Risk and Data Analytics Experience

Final-year students and graduates in quantitative, business and technology fields can apply for the Woolworths Financial Services Graduate Programme 2026 / 2027, with practical exposure to credit risk, customer analytics, SAS and SQL programming, forecasting and financial decision-making.

The programme is built around the Credit Risk Office, where graduates will rotate through different functions covering the full customer credit lifecycle.

This includes areas such as acquisition risk, existing customer management, collections, fraud strategy, portfolio performance, profitability and impairment.

What will you learn inside the Credit Risk Office?

You will develop a detailed understanding of how a financial-services business measures and manages credit risk.

Your rotations can include:

• Acquisition Risk
• Existing Customer Management Risk
• High Risk Account Management
• Portfolio Performance
• Profitability
• Impairment
• Collections
• Fraud Strategy

You will also gain exposure to Customer Analytics and Growth within the Chief Customer Office.

How does credit risk work in financial services?

Credit risk is the risk that customers may not repay money they owe.

Financial-services teams use data, models and customer information to decide how much risk the business can take while still offering useful credit products.

During the programme, you can learn how analysts use information to support decisions throughout the customer lifecycle.

That can include decisions around who receives credit, how existing accounts are managed and how higher-risk accounts are handled.

What will you do with data?

Data analysis is a major part of the programme.

You may work on:

• Portfolio analysis
• Forecasting
• Management information
• Customer behaviour
• Performance tracking
• Analytical projects
• Business insights

You will need to understand what the data is showing and turn that information into useful business recommendations.

Will you learn SAS and SQL?

The programme includes exposure to SAS and SQL programming. These tools are widely used in data analysis and financial-services environments.

SQL helps analysts work with structured databases and retrieve the information needed for analysis.

SAS can be used for statistical analysis, modelling, reporting and risk-management work.

Developing practical experience with these tools can be especially useful if you want to build a career in credit risk or financial analytics.

Will you work with statistical models?

Modelling techniques form part of the technical development.

Financial-services businesses use models to understand patterns in customer behaviour and estimate future outcomes.

Depending on your rotation, you may learn how analytical models support areas such as:

• Credit decisions
• Portfolio performance
• Customer risk
• Collections
• Fraud
• Forecasting

The programme is therefore particularly relevant to graduates who enjoy working with numbers, patterns and business problems.

What is acquisition risk?

Acquisition risk focuses on customers entering the credit portfolio.

Analytical teams assess information to understand whether an applicant meets the business’s lending criteria and what level of risk may be involved.

Exposure to this area can help you understand how data and risk rules influence lending decisions.

What is Existing Customer Management?

Existing Customer Management focuses on people who already use the company’s credit products.

The business needs to understand how those customers are performing over time.

You may gain exposure to analysis involving customer behaviour, account performance and strategies used to manage existing credit relationships.

What does High Risk Account Management involve?

High Risk Account Management focuses on customers whose accounts show signs of increased financial risk.

Analysts need to identify these changes early and understand what action may be appropriate.

This can involve monitoring trends and using customer data to support risk-management decisions.

How do collections fit into credit risk?

Collections deals with customers who have fallen behind on repayments.

The business needs strategies that improve repayment outcomes while managing cost, risk and customer relationships.

Your exposure may help you understand how analytics can be used to determine which collections strategies work best for different customer groups.

What will you learn about fraud?

Fraud Strategy is another part of the Credit Risk Office.

Financial-services businesses need systems and analytical processes that help identify suspicious behaviour while allowing legitimate customers to transact normally.

This can give you exposure to the way data is used to identify unusual patterns and support fraud-control decisions.

What are portfolio performance and impairment?

Portfolio performance looks at how the overall credit book is performing.

Analysts monitor trends such as customer behaviour, repayment performance and risk levels.

Impairment relates to estimating potential financial losses from credit that may not be fully repaid.

Both areas rely heavily on data, forecasting and financial analysis.

What will forecasting involve?

You will contribute to forecasting and monthly management information production.

Forecasting helps the business estimate how portfolios may perform in future.

Management information, often called MI, gives decision-makers regular information about important business trends and performance measures.

You may help prepare, monitor and interpret this information.

Will you work on analytical projects?

You may lead or support analytical projects across the different functional teams.

That can include:

• Investigating business problems
• Analysing data
• Testing ideas
• Measuring performance
• Presenting insights
• Supporting strategy decisions

You will also support experienced analysts during your rotations.

Which qualifications are accepted?

You need to be in your final year or have completed a degree in one of the following areas:

• Statistics
• Mathematics
• Data Science or Analytics
• Actuarial Science
• Business
• Economics
• Engineering
• Information Systems
• Computer Science
• Finance

The broad qualification range reflects the combination of quantitative analysis, technology and commercial thinking used in credit risk.

Which skills will help you succeed?

You should have a strong interest in understanding data and solving problems.

Useful strengths include:

• Analytical thinking
• Curiosity
• Problem-solving
• Communication
• Teamwork
• Ability to work under pressure
• Willingness to learn
• Strong deadline management

You should also be comfortable entering unfamiliar situations and learning new technical skills.

Will you work with stakeholders?

Stakeholder management forms part of the programme.

Credit risk analysts do not work in isolation.

You may need to work with teams across finance, customer operations, technology, analytics and other business functions.

Strong communication is therefore important because analytical findings need to be understood by people who may not have the same technical background.

What can this programme lead to?

The skills developed through the programme can support careers in areas such as:

• Credit Risk
• Data Analytics
• Financial Analytics
• Risk Modelling
• Customer Analytics
• Fraud Analytics
• Collections Strategy
• Portfolio Management
• Business Intelligence
• Financial Services

The combination of quantitative analysis, programming and financial-services exposure can provide a strong foundation for a long-term analytical career.

How do you apply?

Applications must be submitted through the Woolworths Financial Services recruitment platform.

Apply for the Woolworths Financial Services Graduate Programme 2026 / 2027

Apply if your qualification matches the listed fields and you want to build practical experience in credit risk, data analytics and financial services.