Fraud Data & Analytics Manager

Bendigo And Adelaide Bank; Melbourne; Híbrido; AUD 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Genuine Flexibility

Health & Wellbeing Support

Continuous Learning & Growth

An Inclusive Culture

Resumo da oferta

Bendigo Bank is seeking a senior leader for FCFO Data & Analytics (Fraud) to guide detection strategies across banking channels. You will lead a team of analysts designing, testing, and optimising fraud detection rules, models and risk scores, in collaboration with Tech, Risk and Operations.

The role focuses on reducing false positives, improving detection effectiveness, and supporting SPF readiness in a hybrid work environment across multiple Australian cities.

Qualificações

• Essential: design, test, implement and optimise fraud/detection rules across banking and payment channels.
• Essential: analyse fraud trends, detection rates, and losses to improve performance.
• Essential: leverage biometrics and risk scores to strengthen detection strategies.
• Essential: partner with data science to develop and implement detection models.
• SPF readiness: identify gaps and support risk-based scam detection aligned with SPF.
• Stakeholder engagement with Ops, Tech, Analytics and Risk to translate fraud intel into controls.

Responsabilidades

• Develop and refine detection rules and strategies for fraud and scams.
• Collaborate with Fraud Operations, Technology, Data Science and Risk teams.
• Leverage behavioural biometrics, device intelligence and model-driven risk scores.
• Support development and testing of fraud detection models.
• Ensure readiness for the Scams Prevention Framework (SPF).
• Translate intelligence into effective detection controls.

Conhecimentos

Detection strategy

Detection performance

Advanced detection capabilities

Model development

SPF readiness

Stakeholder engagement

Ferramentas

SQL

Python

Power BI

Descrição da oferta de emprego

Bendigo Bank is seeking a senior leader for FCFO Data & Analytics (Fraud) to guide detection strategies across banking channels. You will lead a team of analysts designing, testing, and optimising fraud detection rules, models and risk scores, in collaboration with Tech, Risk and Operations.

The role focuses on reducing false positives, improving detection effectiveness, and supporting SPF readiness in a hybrid work environment across multiple Australian cities.