Senior Analyst, Financial Crime Change, Systems & Data

This is an exciting opportunity to join our Financial Crime Operations team in a newly created role, helping deliver meaningful change across financial crime systems, data and analytics. As a Senior Analyst, Financial Crime Change, Systems and Data you'll work across areas including AML/CTF, sanctions, fraud and scams, turning complex operational, risk and regulatory needs into clear requirements, practical solutions and sustainable outcomes. While this role has no direct reports, you'll take ownership of defined workstreams and have the opportunity to provide specialist guidance, share knowledge and support less-experienced analysts through peer review and practical coaching.

Responsibilities

Work across the delivery lifecycle from discovery and problem definition through analysis, design, testing, implementation and transition into BAU; investigate system or control gaps; analyse complex datasets; support remediation activity; define requirements; validate that implemented changes work as intended; use SQL and other analytical tools to interrogate and reconcile financial crime data; investigate data-quality issues and identify affected populations, trends and potential control weaknesses; engage strongly with stakeholders across Financial Crime, Compliance, Risk, Operations, Data, Technology, Product, Payments, and external vendors and service providers; communicate complex findings to support clear decisions and action; take ownership of defined workstreams; provide specialist guidance, share knowledge and support less-experienced analysts through peer review and practical coaching

Requirements

Strong experience in financial crime, business analysis, systems change, data analytics, data quality or remediation; experience within banking or another complex regulated environment (ideally); exposure to areas such as AML/CTF, sanctions, fraud, scams, KYC/CDD, transaction monitoring, screening, regulatory reporting or case management (may be relevant); ability to work with complex data and use SQL to investigate issues, test assumptions and develop evidence-based findings; ability to translate operational, risk and regulatory needs into business, system, data and control requirements; experience supporting change from discovery through to testing and implementation, including requirements, process maps, user stories, acceptance criteria and test cases; understanding of traceability, quality assurance and maintaining clear evidence of assumptions, decisions, results and limitations; curiosity, adaptability and comfort working through ambiguity; collaborative and accountable approach with the confidence to raise concerns and communicate clearly with stakeholders at all levels

Nice to have

Experience with Python or a comparable analytical language (valued, particularly for automation, reproducible analysis and efficient delivery); experience with Power BI, Excel or similar analytical and reporting tools (highly regarded)

Benefits

Flexible working arrangement; Discounted financial products; Salary sacrificing options; Paid parental leave with no minimum requirements; Purchase additional annual leave; Discounted private health insurance plan; Employee Assistance Program (EAP); Access to employee network groups (First Nations Reconciliation, LGBTQIA+, Multicultural, Gender, Early Careers, and accessibility groups)