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About UsAt ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About The Role
Protect our Customers, Communities and ANZ against financial crime threats
Utilise customer data and intelligence to detect, investigate, and escalate potentially suspicious activity
Work within the Financial Crime Portfolio to support businesses across the Group in complying with financial crime regulatory obligations
In this role, you will join the Financial Crime Threat Management Team as a Customer Monitoring and Detection Analyst. You will be responsible for assessing and improving financial crime filtering solutions to enhance detection capabilities and alert quality. You will collaborate with other Financial Crime teams to identify necessary changes and design solutions based on typology reports, intelligence findings, and risk assessments.
Role Location: 833 Collins Street, Docklands VIC 3008
Role Type: 12-month Opportunity
Key Responsibilities
Review inputs to identify and prioritize improvements to financial crime detection systems, focusing on AML Transaction Monitoring and Customer Risk scoring/monitoring solutions.
Deliver analytical insights by preparing, analyzing, and interpreting data according to business processes.
Design, develop, and implement solutions to improve AML detection and customer risk rating efficacy.
Support the ongoing operation of financial crime detection applications through testing and updates.
Maintain documentation linking Financial Crime risks, coverage needs, and detection solutions, complying with validation requirements.
Support compliance and operational risk management by adhering to policies and procedures.
Qualifications and Skills
Enthusiasm, diligence, and interest in Financial Crime Threat Management.
Ability to learn quickly and adapt to deliver outcomes.
Commitment to quality and continuous improvement, with strong engagement skills.
Proactive in identifying and supporting financial crime risk management opportunities.
Strong communication skills, capable of explaining complex issues clearly.
Degree in Quantitative disciplines (e.g., Computer Science, Mathematics, Statistics, IT) preferred but not essential.
Skills in data management and manipulation (Excel, SQL, SAS, Python, Machine Learning) are highly regarded.
At ANZ, we foster a growth mindset, encouraging trying new approaches. If you feel aligned with most of these qualities, we look forward to your application.
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