Manager, Scams Information Enrichment & Analytics
Key Skills for This Role
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About AFCA
The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers.
AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.
The Australian Scams Ombudsman team at AFCA is taking shape
Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first.
AFCA is preparing for an important new chapter as the Australian Scams Ombudsman. From 31 March 2027, consumers and small businesses will be able to bring eligible scam complaints to us under the Scams Prevention Framework following an internal dispute resolution process.
Qualifications
- Experience leading a data analytics, fraud analytics, risk analytics, operational insights or comparable analytical team.
- Strong knowledge of scam typologies and multi-party scam pathways, including banking, telecommunications and digital platforms.
- Experience designing and embedding analytics or information-enrichment processes within an operational environment.
- Strong analytical and problem-solving capability across structured and unstructured information.
- Practical SQL skills, including querying and reconciling data from multiple sources.
- An understanding of modern data platforms, data warehouses or lakehouse environments.
- Experience with business intelligence and operational reporting tools such as Power BI or equivalent.
- Strong understanding of data quality, governance, privacy and security.
- The ability to translate complex data and technical findings into clear, practical insights for operational and executive audiences.
- Strong stakeholder management skills and the ability to work across operational, regulatory and technical environments.
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