We are looking for a Senior Analyst AML Analytics to join our Financial Crime Domain and help shape the future of payments at Cuscal.

Responsibilities
Analysing 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.
Leveraging SQL, Databricks, IBM Safer Payments, feature engineering and advanced analytics techniques to enhance monitoring effectiveness and reduce financial crime risk.
Supporting continuous improvement through the development, testing and optimisation of detection rules, reporting frameworks, dashboards and analytics capabilities.

Qualifications
Experience in AML, financial crime analytics, transaction monitoring or risk analytics.
Robust technical capability with SQL and large, complex datasets, alongside experience generating insights through data analysis.




Experience working with transaction monitoring technologies, rules optimisation, machine learning, AI models or analytics platforms.
Experience within banking, payments, fintech or financial services environments.
Experience with Databricks, Python, Java, Jupyter, Power BI or Tableau.

Benefits
Hybrid working arrangements that support flexibility and work-life balance.
We celebrate success: Our IGNITE program recognises individual and team achievements.
Wellbeing focus: We support your physical, mental and financial wellbeing through a range of initiatives and employee advantages.

Cuscal is an equal chance employer committed to fostering an inclusive and diverse workplace where everyone can thrive.
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📌 Senior Analyst Aml Analytics Brisbane City
🏢 Cuscal
📍 Brisbane