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
Partner closely with Financial Crime domain, Data Science and delivery teams across FCC-owned model initiatives
Provide FCC subject matter expertise into model requirements, typologies and 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 are operating in line with FCC expectations and objectives
Support governance and approval processes, including model risk assessments, documentation and stakeholder engagement
Translate complex financial crime risks and emerging typologies into clear business and detection requirements
Work across multiple stakeholders to resolve ambiguity, manage dependencies and support timely delivery outcomes
Provide clear updates, insights and recommendations to FCC leadership and governance forums
Support internal audit, Line 3 assurance and regulatory engagement activities where required
We’re interested in hearing from people who have
Strong experience in Financial Crime Compliance, including AML/CTF, transaction monitoring, customer risk, sanctions or related detection environments
Deep understanding of financial crime typologies, detection frameworks and 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, governance processes and 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.
Skills Required
- Advanced AI & Machine Learning Expertise
- Proven experience designing, building and deploying production-grade ML/AI models
- Strong understanding of model evaluation, validation and performance monitoring frameworks
- Experience with large-scale data environments and modern ML tooling
- Ability to balance technical innovation with governance, explainability and regulatory expectations
- Strong experience in financial crime compliance
- Deep understanding of risk, regulatory expectations and operational detection frameworks
- Ability to translate financial crime problems into data-driven detection strategies
What We Do
Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.
