Commonwealth Bank99 followers129 jobs

Executive Manager - AI Tech Risk

SeniorFull-timeHybridSydney NSW, AustraliaPosted 4 days agoVerified 6 days ago
Pending fitX of Y criteria met

About the job

This job is all about leading the Operational Risk support function for Artificial Intelligence security and secure engineering. By providing independent advice and assurance, you will play a crucial role in managing cyber, technology, and resilience risks associated with AI and advanced data analytics. The team thrives on collaboration, innovation, and a commitment to continuous improvement, ensuring that everyone feels empowered to contribute to the success of the organization.

You'll be responsible for

🏗️

Building and managing a Line 2 function

Building and managing a Line 2 function of professional SMEs to provide independent, pragmatic and value adding Ops Risk advice, assurance and approval/acceptance for AI security, secure engineering and Analytics risks across the portfolio including subsidiaries.
🔍

Providing independent challenge

Providing independent challenge and assurance over the security of AI and machine learning systems, including model and data security, identity and access, secure-by-design engineering, and the management of adversarial threats.
🤝

Partnering with teams

Partnering with Cyber Security, Technology and Engineering teams to embed secure development, threat modelling and control assurance into AI and analytics pipelines, aligned to recognised frameworks.

Key criteria

🤖

Artificial intelligence expertise

Proven experience with AI security and secure engineering principles.

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🔒

Cyber security knowledge

Demonstrated understanding of cyber security and secure software engineering.

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📊

Data analytics capability

Experience with advanced data analytics and automation technologies.

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Meet the team

About the company

Think you're a good fit?See what the hiring team are looking for

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5 criteria for this job
Artificial intelligence expertise
Proven experience with AI security and secure engineering principles.

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Cyber security knowledge
Demonstrated understanding of cyber security and secure software engineering.

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Data analytics capability
Experience with advanced data analytics and automation technologies.

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Familiarity with risk frameworks
Knowledge of NIST AI Risk Management Framework and MITRE ATLAS.

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Communication skills
High-quality written and verbal communication abilities essential for collaboration.

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