Senior Manager, Financial Crime Compliance Data, Insights & AI Enablement
Commonwealth Bank · Sydney, Australia · 9h ago
See yourself in our team
Financial Crime Compliance (FCC) sits within CBA’s Group Risk function andis responsible forsetting the strategy, frameworks and oversight that protect the Group from financial crime risks.
As part of this, FCC plays a critical role in shaping and governing the Group’s advanced analytics and model-driven detection capability across AML/CTF, Sanctions, Anti-Bribery & Corruption (ABC)and Anti-Tax Evasion (ATE).
The Machine Learning & AI function sits at thecentreof this transformation — partnering closely with Financial Crime domain, DataScienceand delivery teams to ensure FCC-owned models are aligned to financial crime risks, regulatoryexpectationsand operational outcomes.
This team plays a critical role in ensuring that models are built on clear financial crime requirements, supported by robustgovernanceand appropriately tested prior to deployment.
What your role will involve
As a Senior Manager, you will report to the Executive Manager, Financial Crime Compliance Machine Learning & AI, and act as a key FCC representative across the delivery lifecycle for FCC-owned financial crime models.
You will work closely with Financial Crime domain, DataScienceand delivery teams to ensure models are designed,testedand implemented in alignment with FCC expectations, financial crimetypologiesand regulatory obligations.
While model development will be undertaken by specialist Data Science teams, you will play a critical role in providing FCC input into model design, detectionlogicand governance outcomes — ensuring that financial crime risks and operational considerations are appropriately reflected throughout delivery.
On any given day, you will
Partner closely with Financial Crime domain, DataScienceand delivery teams across FCC-owned model initiatives
Provide FCC subject matterexpertiseinto model requirements,typologiesand detection logic
Ensure financial crime risks, regulatory expectations and operational considerations are appropriately reflected within model design outcomes
Review and challenge model approaches, analytical outputs and delivery decisions from an FCC risk and governance perspective
Coordinate and oversee testing activities to ensure models are appropriately assessed prior to deployment
Review testing outcomes and support assessment of whether models areoperatingin line with FCC expectations and objectives
Support governance and approval processes, including model risk assessments,documentationand stakeholder engagement
Translate complex financial crime risks and emerging typologies into clear business and detection requirements
Work across multiple stakeholders to resolve ambiguity, managedependenciesand supporttimelydelivery outcomes
Provide clear updates, insights and recommendations to FCC leadership and governance forums
Support internal audit, Line 3 assurance and regulatory engagement activities whererequired
We’reinterested in hearing from people who have
Strong experience in Financial Crime Compliance, including AML/CTF, transaction monitoring, customer risk,sanctionsor related detection environments
Deep understanding of financial crime typologies, detectionframeworksand regulatory expectations
Experience working closely with Data Science, analytics or technology teams in model or data-driven delivery environments
Strong understanding of model delivery lifecycles, governanceprocessesand testing practices
Experience translating financial crime risks and typologies into practical detection requirements and operational outcome
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.