Senior Analyst AML Analytics
HybridSouth Brisbane, Queensland, Australia
Job Summary
Analyse complex behavioural and transaction data to identify suspicious activity and emerging AML risks across cards, digital wallets, real-time payments, BPAY, Direct Entry and PayTo channels. Leverage SQL, Databricks, IBM Safer Payments, feature engineering, and advanced analytics to enhance monitoring effectiveness and reduce financial crime risk. Support continuous improvement through the development, testing, and optimisation of detection rules, reporting frameworks, and dashboards. Join the Financial Crime Domain to protect clients and shape the future of payments in Australia's financial services sector.
Required Qualifications
- Experience in AML, financial crime analytics, transaction monitoring or risk analytics
- Strong technical capability with SQL and large, complex datasets
- experience generating insights through data analysis
- Experience working with transaction monitoring technologies, rules optimisation, machine learning, AI models or analytics platforms
Desired Qualifications
- Experience within banking, payments, fintech or financial services environments
- Experience with Databricks, Python, Java, Jupyter, Power BI or Tableau
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