Manager, Scam Analytics & Information Enrichment in Sydney

Manager, Scam Analytics & Information Enrichment in Sydney

Sydney Full-Time 49500 - 60500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead a new team to analyse scams and provide actionable insights for effective decision-making.
  • Company: AFCA, dedicated to protecting Australian consumers and small businesses.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on impactful consumer advocacy.
  • Why this job: Make a real difference by combating scams and enhancing consumer protection.
  • Qualifications: Experience in analytics, scams, fraud, or financial crime leadership.

The predicted salary is between 49500 - 60500 $ per year.

AFCA is seeking an experienced analytics leader to build and guide a new Scams Information Enrichment and Analytics team.

You will turn complex scam, consumer and market information into practical insights to support effective complaint handling and decision-making.

You will combine scams, fraud or financial crime expertise with analytics leadership to establish a high-impact capability for Australian consumers and small businesses.

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Manager, Scam Analytics & Information Enrichment in Sydney employer: Australian Financial Complaints Authority Limited

AFCA is an exceptional employer that prioritises fairness and inclusivity, offering flexible work arrangements and a supportive culture that values every voice. As a not-for-profit organisation, we provide meaningful opportunities for professional growth while making a real impact in the banking and finance sector. Our commitment to employee wellbeing is reflected in our diverse benefits, including additional leave options and a hybrid working model that fosters collaboration and balance.

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Contact Details:

Australian Financial Complaints Authority Limited Recruitment Team

We think you need these skills to ace Manager, Scam Analytics & Information Enrichment in Sydney

Analytics Leadership
Scam Expertise
Fraud Analysis
Financial Crime Knowledge
Data Interpretation
Insight Generation
Complaint Handling