Senior Fraud Analytics Lead - Hybrid, Data-Driven Risk

Commonwealth Bank of Australia; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Commonwealth Bank of Australia seeks a Senior Manager, Fraud Analytics to tackle complex application fraud challenges using large-scale data, statistical modelling and machine learning. You will shape fraud strategy and partner with Business Banking, Risk, Financial Crime, Operations and Data Science to drive analytics-led decisioning.

You will work with senior specialists to strengthen fraud analytics capability, applying modern analytical techniques and data assets to address evolving fraud

Qualifications

• Substantial fraud analytics experience with data-driven insights.
• Hands-on analysis from ambiguous problems to actionable recommendations.
• Ability to influence stakeholders without formal people leadership.

Responsibilities

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

Skills

Advanced Python programming

Statistical modelling

Machine learning techniques

Fraud detection & risk modelling

Data visualisation

Feature engineering

Experimentation

Analytical problem solving

Stakeholder communication

Tools

Snowflake

Job description

Commonwealth Bank of Australia seeks a Senior Manager, Fraud Analytics to tackle complex application fraud challenges using large-scale data, statistical modelling and machine learning. You will shape fraud strategy and partner with Business Banking, Risk, Financial Crime, Operations and Data Science to drive analytics-led decisioning.

You will work with senior specialists to strengthen fraud analytics capability, applying modern analytical techniques and data assets to address evolving fraud