Job Description
We are looking for a Senior Analyst AML Analytics to join our Financial Crime Domain and help shape the future of payments at Cuscal.
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Responsibilities
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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.
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Leveraging SQL, Databricks, IBM Safer Payments, feature engineering and advanced analytics techniques to enhance monitoring effectiveness and reduce financial crime risk.
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Supporting continuous improvement through the development, testing and optimisation of detection rules, reporting frameworks, dashboards and analytics capabilities.
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Qualifications
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Experience in AML, financial crime analytics, transaction monitoring or risk analytics.
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Strong technical capability with SQL and large, complex datasets, alongside experience generating insights through data analysis.
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Experience working with transaction monitoring technologies, rules optimisation, machine learning, AI models or analytics platforms.
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Experience within banking, payments, fintech or financial services environments.
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Experience with Databricks, Python, Java, Jupyter, Power BI or Tableau.
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Benefits
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Hybrid working arrangements that support flexibility and work-life balance.
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We celebrate success: Our IGNITE program recognises individual and team achievements.
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Wellbeing focus: We support your physical, mental and financial wellbeing through a range of initiatives and employee perks.
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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 (Queensland)
🏢 Cuscal
📍 Queensland