Fraud Data & Analytics Lead (FC&FO)

Bendigo And Adelaide Bank; Greater Bendigo; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Genuine Flexibility

Health & Wellbeing Support

Continuous Learning & Growth

Inclusive Culture

Job summary

Bendigo And Adelaide Bank is seeking a Manager, FC&FO Data & Analytics (Fraud) to lead a team focused on building and refining fraud detection strategies. You will work across Fraud Operations, Technology, Data Science and Risk to implement detection rules and improve outcomes while reducing customer friction.

The role emphasizes advanced analytics, behavioural biometrics, risk scoring, and SPF readiness, with a hybrid work model in multiple Australian cities.

Qualifications

• Detection strategy and rule development across banking and payment channels.
• Detection performance: analyse fraud trends, typologies, detection rates, false positives and losses.
• Advanced detection capabilities: behavioural biometrics, device intelligence and model-generated risk scores.
• Partner with data science teams to support development, testing and implementation of fraud detection models.
• Identify detection control gaps and support SPF-aligned capabilities.

Responsibilities

• Design, test, implement and optimise fraud and scam detection rules across banking and payment channels.
• Analyse fraud trends, emerging typologies, detection rates, false positives and losses.
• Leverage behavioural biometrics, device intelligence and model-generated risk scores to strengthen detection strategies.
• Work with data science to develop and deploy fraud detection models.
• Support SPF readiness and risk-based scam detection capabilities.

Skills

Detection strategy

SQL

Python

Power BI

Behavioural biometrics

Device intelligence

Model development

Machine learning

SPF readiness

Tools

SQL

Job description

Bendigo And Adelaide Bank is seeking a Manager, FC&FO Data & Analytics (Fraud) to lead a team focused on building and refining fraud detection strategies. You will work across Fraud Operations, Technology, Data Science and Risk to implement detection rules and improve outcomes while reducing customer friction.

The role emphasizes advanced analytics, behavioural biometrics, risk scoring, and SPF readiness, with a hybrid work model in multiple Australian cities.