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 benefits.

Cuscal is an equal opportunity 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 City