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About the Role

Build and ship AI solutions that help solve complex forecasting, pricing, and risk challenges in Global Markets. Join a high-performing team at the forefront of AI innovation, working alongside experienced data scientists, engineers, and business leaders. Apply agentic and generative AI technologies on enterprise-scale cloud platforms while helping shape the future of one of Australia's leading financial institutions.

Responsibilities

Deliver AI and machine learning solutions focused on forecasting, pricing, and risk management challenges within Global Markets.
Take use cases from discovery and experimentation through to production deployment and ongoing optimisation.
Build agentic and generative AI applications using modern frameworks and enterprise AI platforms.
Collaborate with engineers, data scientists, and stakeholders to design scalable and practical solutions.
Partner directly with business stakeholders to identify opportunities and refine AI use cases.
Contribute to testing, model validation, deployment, monitoring, and governance practices.
Apply emerging AI capabilities in a commercially focused environment where innovation and impact are equally important.
Continuously develop your expertise in both AI and financial markets.

Requirements

Bring strong hands-on AI experience, a passion for solving complex problems, and a desire to work in a fast-moving environment.
Have professional experience ideally within AI, machine learning, quantitative analytics, or a related technical field.
Demonstrate strong Python programming skills supported by testing and version control practices.
Have experience building generative AI or agentic AI solutions and can articulate the technical decisions behind them.
Have hands-on experience with cloud AI platforms such as AWS or Azure within an enterprise environment.
Are curious, adaptable, and capable of quickly applying new AI capabilities to practical business problems.
Can translate technical concepts into meaningful outcomes for business stakeholders.
Have an interest in financial markets and are motivated to develop deeper knowledge of forecasting, pricing, and risk management.

Skills

AI
Machine Learning
Quantitative Analytics
Python
Generative AI
Agentic AI
AWS
Azure
Forecasting
Pricing
Risk Management

Location

Global

Work Type

Full-time

Experience Level

Professional experience

Education Level

Degree in quantitative finance, actuarial studies, mathematics, engineering, data science, computer science, or a related discipline.
Postgraduate qualifications will be highly regarded.

About the Company

Institutional Banking & Markets (IB&M) partners with corporate and institutional clients, connecting capital, insights, and expertise to help them grow, manage risk, and navigate complex financial decisions.
At CommBank, we're committed to creating an accessible, inclusive, and respectful workplace.

Equal Opportunity

We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.
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