Fraud Analytics Lead — Data & Insights

NAB; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

NAB in Sydney is seeking a Senior Consultant, Fraud Data & Insights to transform complex data into actionable insights, build analytical models, and deliver reporting that supports the detection and prevention of fraud and financial crime throughout the customer lifecycle.

You will automate fraud reporting, analyze trends, and partner with analytics, operations, technology and delivery teams to drive automation and governance.

Qualifications

• Extensive data analytics capability across large datasets with fraud use cases.
• Proficient in SQL, Power BI (DAX), Excel; SAS and Python experience.
• Deep understanding of fraud, scams and financial crime typologies.
• Strong stakeholder management across analytics, operations, risk, technology and governance.

Responsibilities

• Mature and automate fraud, scam and financial crime domain reporting and insights.
• Prepare monthly performance reporting, MOUs, leadership papers and required governance materials.
• Analyze fraud and scam trends, performance drivers, operational impacts and customer outcomes.
• Convert reporting outputs into clear actions, risks, decisions and recommendations for leadership.
• Support regulatory and industry reporting needs by ensuring insights are accurate, timely and aligned to changing obligations
• Partner with analytics, operations, technology and delivery teams to source, validate and interpret reporting inputs and drive automation.
• Improve consistency of metrics, definitions, commentary and trend analysis across fraud and scam reporting.
• Maintain strong reporting governance, ensuring data accuracy, evidence, version control and clear owners.

Skills

SQL

Power BI (DAX)

Excel

Python

SAS

Fraud analytics

Stakeholder mgmt

Governance

AI prompting

Tools

SAS

Python

SQL

Power BI

Excel

Job description

NAB in Sydney is seeking a Senior Consultant, Fraud Data & Insights to transform complex data into actionable insights, build analytical models, and deliver reporting that supports the detection and prevention of fraud and financial crime throughout the customer lifecycle.

You will automate fraud reporting, analyze trends, and partner with analytics, operations, technology and delivery teams to drive automation and governance.