- You are passionate about solving complex problems using Data Science and analytics
- We’re one of the largest and most advanced Data Science practices in the country
- Together we can build impactful data science models that help protect our customers and prevent financial crime
Do work that matters
Business Banking manages relationships with small-to-medium enterprise customers, mid-market corporate customers, and regional and agribusiness clients, delivering a wide range of financial services and solutions.
Within this, Business Lending is responsible for core lending products including working capital, business loans, asset finance, corporate finance, and property finance, as well as Line 1 risk and controls across these products.
You will sit within a team focused on Balance Sheet Management, supporting sustainable and profitable growth through portfolio optimisation, pricing, data governance, and application fraud prevention.
Our team plays a critical role in improving application fraud detection and credit assurance, working closely with bankers, risk, operations, and analytics teams to drive better decision-making and outcomes.
We are on a journey to uplift our analytics capability, moving towards more sophisticated, scalable and impactful data science solutions across fraud and financial crime.
See yourself in our team
- As a Senior Manager, Data Science – Fraud Analytics within Business Banking, you will play a key role in designing and delivering advanced data science models to detect and prevent application fraud.
- This is a hands-on leadership role, focused on building and optimising models that identify high-risk behaviour, improve case prioritisation, and strengthen fraud detection capabilities across Business Banking.
- You will work closely with stakeholders across Business Lending, and Business Bank, financial crime, and retail banking teams to translate complex data insights into practical, business-ready solutions that enhance investigation outcomes and protect customers.
- This is an opportunity to contribute to the evolution of fraud analytics capability, leveraging modern tools and data science approaches to combat increasingly sophisticated fraud threats across a large and diverse customer base.