Senior Manager - Fraud Analytics

Senior Manager – Fraud Analytics

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 Business Lending, we are focused on strengthening fraud prevention, improving decision-making and protecting our customers through advanced analytics and data-driven insights.

As fraud threats become increasingly sophisticated, we're investing in our analytics capability to build scalable solutions that enhance fraud detection, improve operational effectiveness and support better customer outcomes.

This is an opportunity to join a team tackling complex fraud challenges and shaping the future of fraud analytics across Business Banking.

See yourself in our team

As a Senior Manager – Fraud Analytics, you will be a senior individual contributor responsible for designing, developing and implementing advanced analytics solutions to detect, prevent and respond to application fraud.

This is a highly hands-on role suited to an experienced analytics professional who enjoys solving complex problems, working directly with data and influencing business outcomes through actionable insights.

You will partner closely with stakeholders across Business Banking, Risk, Financial Crime, Operations and Data Science teams to identify fraud risks, develop analytical solutions and drive meaningful improvements in fraud detection capability.

Working alongside other senior specialists, you will help uplift fraud analytics capability by leveraging modern analytical techniques, data science methods and large-scale data assets to address evolving fraud challenges.

Key responsibilities include:

• Developing and enhancing fraud analytics models and strategies

• Identifying emerging fraud trends, risks and opportunities through data analysis

• Delivering insights that support fraud detection, prevention and investigation outcomes

• Collaborating with cross-functional stakeholders to solve business problems using data

• Translating complex analytical findings into practical business recommendations

• Contributing to the ongoing evolution of fraud analytics and decisioning capability

• Providing technical leadership and subject matter expertise within the fraud analytics domain

We're interested in hearing from people who:

• Have significant experience in Fraud Analytics, Financial Crime Analytics, Risk Analytics or a related analytical discipline

• Are highly hands-on and enjoy working directly with data to solve complex business problems

• Have strong experience developing analytical solutions that drive measurable business outcomes

• Can operate autonomously and influence stakeholders without relying on formal people leadership authority

• Have strong commercial acumen and can balance analytical rigour with practical business outcomes

• Can communicate complex technical concepts clearly to both technical and non-technical audiences

• Thrive in ambiguous environments and enjoy building new capabilities from the ground up

• Have experience partnering with business, risk, technology and operations teams

Technical Skills

We work across a broad range of analytics and data science tools and technologies. Experience in several of the following will be advantageous:

• Advanced Python programming and analytics development

• Statistical modelling and machine learning techniques

• Fraud detection and risk modelling approaches

• Large-scale data analysis and analytical solution design

• Data visualisation and storytelling with data – Experience with Snowflake advantageous

• Feature engineering, model optimisation and performance monitoring

• Experimentation, hypothesis testing and analytical problem solving

• Experience working with fraud, financial crime, credit risk or decisioning frameworks

Why join us

• Solve complex fraud challenges with real customer impact

• Work alongside experienced Data Science and Analytics practitioners

• Influence strategic fraud decisions through advanced analytics

• Join one of Australia's leading analytics and data science communities

• Build innovative solutions that help protect customers and prevent financial crime

Advertising End Date: 15/08/2026