Fraud & Data Analytics Manager — Lead Detection Strategy

Bendigo Bank; Australia; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work options

Health & wellbeing support

Learning & growth

Inclusive culture

Job summary

Bendigo Bank is seeking a senior analytics leader to head the FCFO Data & Analytics (Fraud) team within Group Risk. Based in Melbourne with flexible hybrid work, you will design, develop and optimise fraud detection strategies to protect customers and reduce losses.

Reporting to the Head of Financial Crime & Fraud Detection & Analytics, you will manage a team of analytics specialists, build risk scores, behavioural biometrics, and collaborate with Operations, Technology and Data Science to

Qualifications

• Experience leading fraud/detection analytics initiatives.
• Strong knowledge of banking fraud typologies.
• Proficient in SQL and data analysis.
• Experience with risk scoring and detection models.
• Excellent stakeholder communication.
• Understanding of SPF readiness and banking controls.

Responsibilities

• Lead detection rule development and optimization across channels.
• Collaborate with Fraud Operations, Technology, Data Science and Risk teams.
• Develop and refine detection strategies to reduce false positives.
• Oversee model development and integration of risk scores.
• Drive SPF readiness and compliance alignment.
• Translate fraud intelligence into actionable controls for teams.

Skills

Fraud detection

Fraud analytics

Stakeholder engagement

Data governance

Risk assessment

Tools

Python

Power BI

SQL

Job description

Bendigo Bank is seeking a senior analytics leader to head the FCFO Data & Analytics (Fraud) team within Group Risk. Based in Melbourne with flexible hybrid work, you will design, develop and optimise fraud detection strategies to protect customers and reduce losses.

Reporting to the Head of Financial Crime & Fraud Detection & Analytics, you will manage a team of analytics specialists, build risk scores, behavioural biometrics, and collaborate with Operations, Technology and Data Science to