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The Role
Build and deploy AI and machine learning solutions for forecasting, pricing, and risk challenges in Global Markets. Develop generative and agentic AI applications on enterprise cloud platforms, taking use cases from experimentation through production. Collaborate with data scientists, engineers, and business stakeholders while contributing to testing, validation, monitoring, governance, and ongoing optimisation. Apply technical expertise and financial markets knowledge to deliver measurable commercial outcomes.
Summary Generated by Built In
- 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.
Do Work That Matters
Be part of the team helping shape the future of the economy. 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.
As part of the AI Solutions team within Global Markets, you'll develop and deliver AI-powered solutions that support forecasting, pricing and decision-making. You'll combine software engineering, data science and business knowledge to help turn strong AI adoption into measurable commercial outcomes while working on some of the organisation's most advanced AI initiatives.
See yourself in our team
You'll join a team responsible for AI solutions across Institutional Banking & Markets and the development of quantitative applications and analytics across Global Markets. Working closely with data scientists, engineers, business stakeholders and industry partners, you'll help take AI use cases from concept through to production.
- 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.
We're interested in hearing from people who:
Bring strong hands-on AI experience, a passion for solving complex problems and a desire to work in a fast-moving environment. Whether you come from a financial markets background or are looking to deepen your understanding of markets, you'll be excited by the opportunity to apply cutting-edge AI techniques to real-world challenges.
- 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.
- Hold a degree in quantitative finance, actuarial studies, mathematics, engineering, data science, computer science or a related discipline. Postgraduate qualifications will be highly regarded.
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. 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. For support please contact 1800 989 696.
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
- Professional experience in AI, machine learning, quantitative analytics, or a related technical field
- Strong Python programming skills with testing and version control practices
- Experience building generative AI or agentic AI solutions
- Hands-on experience with enterprise cloud AI platforms such as AWS or Azure
- Ability to translate technical concepts into meaningful business outcomes
- Interest in financial markets and willingness to develop knowledge of forecasting, pricing, and risk management
- Degree in quantitative finance, actuarial studies, mathematics, engineering, data science, computer science, or a related discipline
- Postgraduate qualification
Commonwealth Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commonwealth Bank and has not been reviewed or approved by Commonwealth Bank.
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Leave & Time Off Breadth — The bank offers additional Life Leave, the option to purchase up to four extra weeks, pet leave, and paid volunteering leave alongside flexible-working options. Public materials indicate these leave features compare well within Australian banking.
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Parental & Family Support — Permanent employees can access up to 18 weeks of paid parental leave, and superannuation is paid for up to 34 weeks of unpaid parental leave. These provisions extend support for new parents beyond standard settings.
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Wellbeing & Lifestyle Benefits — Access includes CBHS Health Fund, Fitness Passport, a 24/7 wellbeing platform with telehealth, an Employee Assistance Program, and employer‑paid income protection for up to two years, alongside staff banking perks and share plans. This combination provides day‑to‑day value across health, protection, and financial perks.
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The Company
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.
