Fraud Analytics Consultant - Data-Driven Defender

National Australia Bank; Sydney; Hybrid; AUD 130,000 - 180,000; Full time

Job summary

National Australia Bank is seeking a Data Consultant in its Fraud Prevention & Detection team in Sydney. You will help protect customers by analyzing data to identify fraud patterns, building and refining rules and models, and deploying analytics into operations.

You will monitor performance, collaborate with Fraud Operations, Technology and Risk, and translate insights into prevention actions. We look for strong data analytics skills, understanding of fraud typologies, and proven experience

Qualifications

• Strong data analytics capability with statistical techniques for fraud use cases.
• Understanding of fraud typologies, behaviours and risk across customer journeys.
• Extensive data science/analytics experience in financial services with a fraud focus.
• Proven delivery of models at scale with measurable outcomes.
• Strong technical capability across modelling and analytics tools.
• Ability to translate data into practical insights for prevention and detection.

Responsibilities

• Analyse data to identify fraud patterns, behaviours and emerging risks.
• Develop, test and refine rules, models and analytical approaches.
• Support deployment of analytics into operational systems and controls.
• Monitor model and rule performance and identify uplift opportunities.
• Work with Fraud Operations, Technology and Risk to deliver outcomes.
• Apply fraud intelligence to improve approaches and communicate insights to stakeholders.

Skills

Data analytics

Fraud typologies

Financial services fraud analytics

Model deployment

Analytics tools

Data interpretation

Large datasets

Stakeholder engagement

Job description

National Australia Bank is seeking a Data Consultant in its Fraud Prevention & Detection team in Sydney. You will help protect customers by analyzing data to identify fraud patterns, building and refining rules and models, and deploying analytics into operations.

You will monitor performance, collaborate with Fraud Operations, Technology and Risk, and translate insights into prevention actions. We look for strong data analytics skills, understanding of fraud typologies, and proven experience