Financial Crime Manager accountable for investigating and reporting suspicious matters in financial compliance at ANZ. Collaborating across teams to mitigate compliance risks and ensure regulatory alignment.
About the role
- Define and evolve the FinCrime systems strategy across corporate onboarding, fraud, in-life management, AML transaction monitoring and screening.
- Develop and maintain a holistic roadmap and continuously assess threat landscapes and regulatory change to ensure controls stay ahead of new typologies.
- Leverage advanced analytics and machine learning with Tech and Data Scientists to surface anomalies, optimise risk scores and reduce false positives.
- Own dashboards and KPIs evidencing control effectiveness and drive iterative improvement.
- Design, test and tune detection rules, thresholds and model features across vendor and in-house tools using back testing and champion/challenger approaches.
- Implement change management around parameter updates and model retraining.
- Collaborate across Compliance, Risk, Operations, Product and Technology to align business requirements with system capabilities and regulatory expectations.
- Conduct data quality reviews, assurance testing, and oversight of exception handling procedures; support audits and regulatory reviews.
- Engage and manage vendor relationships including incident handling, change requests and roadmap planning.
- Produce and maintain system design documentation, configuration guidance, supporting models, and Risk & Control artefacts; present updates to senior leadership on threat trends and control performance.
Requirements
- Proven experience in financial crime systems management within a corporate or B2B environment — focusing on business and corporate clients, not retail banking or consumer segments.
- Proven FinCrime domain expertise covering Corporate, fraud, AML transaction monitoring and screening within banking or fintech.
- Strong understanding of financial crime typologies, AML regulatory expectations (e.g. FCA, JMLSG), and systems assurance principles.
- Demonstrated success in rule/model calibration and driving measurable reduction in AML risk while optimising operational efficiency.
- Strong background in designing and drafting system guidance documents and preparing model support documentation suitable for Audit and Risk Committee approval.
- Ability to translate compliance requirements into technical configurations and workflows.
- Comfortable working with large datasets, rule logic, risk scoring models, and system-driven alerting tools.
- Experience working with or leading cross-functional projects across compliance, technology, and operations.
- Strategic thinker with curiosity for emerging threats (e.g. deepfake ID, Perpetual KYC, AI) and innovation in real-time analytics.
- Resilient under pressure, adaptable to change, and excellent communication skills
Benefits
- Flexible working options
- Flexible hours
- Hybrid work
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
VO
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