Cba · Sydney CBD Area · posted today
See yourself in our team
Financial Crime Compliance (FCC) sits within CBA’s Group Risk function and is responsible for setting 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 the centre of this transformation — partnering closely with Financial Crime domain, Data Science and delivery teams to ensure FCC-owned models are aligned to financial crime risks, regulatory expectations and operational outcomes.
This team plays a critical role in ensuring that models are built on clear financial crime requirements, supported by robust governance and 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, Data Science and delivery teams to ensure models are designed, tested and implemented in alignment with FCC expectations, financial crime typologies and 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, detection logic and governance outcomes — ensuring that financial crime risks and operational considerations are appropriately reflected throughout delivery.
On any given day, you will
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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.
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Advertising End Date: 29/07/2026
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Curated listing sourced from the employer's public careers page.