Commonwealth Bank100 followers149 jobs

Senior Manager, Financial Crime Compliance Data, Insights & AI Enablement

SeniorFull-timeHybridSydney NSW, AustraliaPosted 1 day agoVerified 1 day ago
Pending fitX of Y criteria met

About the job

The Senior Manager, Financial Crime Compliance Data, Insights & AI Enablement position is all about leading the charge in designing and delivering innovative AI-enabled financial crime detection capabilities. This job plays a crucial role in protecting the Commonwealth Bank of Australia and the broader financial system from evolving financial and economic crime risks. The team thrives on collaboration, creativity, and a commitment to excellence, ensuring that every initiative contributes to a safer financial environment.

Meet the team

About the company

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You'll be responsible for

🛠️

Designing and delivering advanced data and analytical assets

Create data solutions aligned with financial and economic crime use cases to enhance detection capabilities.
🚀

Leading AI/ML-driven detection model development

Contribute to the development of innovative detection and prioritisation models, similar to TRACE capabilities.
🔍

Conducting analytical investigations

Uncover emerging risk patterns and opportunities for detection uplift through deep analytical investigations.

Key criteria

🤖

Advanced AI and machine learning expertise

Proven experience designing and deploying production-grade ML/AI models.

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💼

Financial crime domain expertise

Strong experience in financial crime compliance and transaction monitoring.

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📊

Large-scale data environment experience

Experience with modern ML tooling and distributed data platforms.

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A meaningful career starts with a match

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5 criteria for this job
Advanced AI and machine learning expertise
Proven experience designing and deploying production-grade ML/AI models.

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Financial crime domain expertise
Strong experience in financial crime compliance and transaction monitoring.

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Large-scale data environment experience
Experience with modern ML tooling and distributed data platforms.

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Model evaluation and validation knowledge
Strong understanding of performance monitoring frameworks.

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Governance and regulatory alignment
Ability to balance innovation with compliance and explainability.

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