Senior Manager - Fraud Analytics

About the role

CommBank's Business Banking team supports small-to-medium enterprises, mid-market organisations and regional and agribusiness customers. Within Business Lending, the team strengthens fraud prevention and improves decision-making through advanced analytics. As Senior Manager, Fraud Analytics, you will tackle complex application fraud challenges, shape fraud analytics across Business Banking and partner with stakeholders across Business Banking, Risk, Financial Crime, Operations and Data Science.

Key responsibilities

• Develop and enhance analytical models and strategies for detecting application fraud.
• Analyse large-scale datasets to identify emerging fraud trends, risks and opportunities.
• Deliver insights that support fraud prevention, detection and investigation outcomes.
• Translate complex analytical findings into clear, commercially grounded recommendations.
• Partner across business, risk, technology, operations and data science teams to solve complex problems.
• Apply feature engineering, model optimisation, experimentation and performance monitoring techniques.
• Contribute to the evolution of fraud analytics and decisioning capability.
• Provide technical leadership and subject matter expertise across the fraud analytics domain.

Required profile

• Substantial experience in fraud analytics, financial crime analytics, risk analytics or a closely related discipline.
• Hands-on analysis, able to take an ambiguous problem through to a well-supported recommendation.
• Experience delivering analytical solutions with measurable business outcomes.
• Able to work autonomously and influence stakeholders without formal people leadership authority.
• Experience partnering with business, risk, technology and operations teams.
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences.

Required skills

• Advantageous: advanced Python programming and analytics development.
• Statistical modelling and machine learning techniques.
• Fraud detection and risk modelling approaches.
• Large-scale data analysis and data visualisation and storytelling.
• Feature engineering, model optimisation and performance monitoring.
• Experimentation, hypothesis testing and analytical problem-solving.
• Experience with fraud, financial crime, credit risk or decisioning frameworks.
• Experience with Snowflake.

The advertising end date is 10/11/2026. People already part of the Commonwealth Bank Group must apply through the group's internal application process. Flexible ways of working, including hybrid work, part-time opportunities and flexible start and finish times, are supported.