Expression of Interest: Data Scientist – Institutional Banking

Expression of Interest: Data Scientist – Institutional Banking

• Shape high-impact use cases in Institutional Banking while developing the next generation of data science talent. 

• Build with agentic AI, modern cloud platforms and advanced modelling in a highly applied, commercially focused environment. 

Do Work That Matters 

Be part of the team helping shape the future of the economy. Institutional Banking & Markets 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 investing in AI to create better customer experiences and meaningful value for the communities we serve. We welcome international talent who would love the experience of working in Australia. We encourage you to apply if you're open to diversifying your global experience and solving world-class AI problems across the Group in collaboration with our own AI Research Labs.

We operate with a fintech mindset as we grow our global footprint and build our people's careers, including a diversified culture of international Tech Hubs established in Seattle and San Francisco, USA, working alongside unique partnerships with OpenAI, Anthropic, AWS and Microsoft to accelerate safer AI outcomes for Australia. Join us to experience this first-hand!

As a Data Scientist you'll lead the design and delivery of applied AI solutions within Institutional Banking. This is a hands-on technical role where you'll connect advanced modelling, commercial objectives and responsible delivery to create measurable business impact. 

See yourself in our team 

You'll join a technically ambitious team where AI is applied to real opportunities. Working alongside business leaders, engineers, risk specialists and industry partners, you'll help shape how AI creates commercial impact across forecasting, trading and emerging AI initiatives. 

• Lead AI initiatives end to end, from problem definition and experimentation through production deployment and ongoing performance monitoring, and be comfortable opening a new inception while an existing solution remains under your operational watch.  

• Set technical direction while staying on the tools. 

• Translate complex commercial and markets problems into scalable machine learning and agentic AI solutions.  

• Establish and hold the modelling, validation, governance and monitoring practice needed to meet risk and model performance requirements in a regulated environment.  

• Partner with business, engineering, risk and governance teams, and with external technology partners, to deliver safe and responsible outcomes.  

• Develop data scientists and graduates through coaching, mentoring and technical leadership. Our graduates are already among the strongest AI developers coming through in Australia, so the bar for technical leadership here is set accordingly.  

• Drive integration between AI delivery, engineering practice and business process so that solutions land in the business and stay there.  

• Influence senior stakeholders by connecting technical decisions to commercial value, P&L and strategic outcomes.  

• Design delivery patterns where none exist yet and make them commercially viable. IB&M has a strong record of backing its people to make decisions and own the outcome.  

• Apply strong model-risk judgement to AI solutions, including data quality, explainability, validation, drift monitoring and clear accountability for model outcomes. 

We’re interested in hearing from people who: 

Can combine deep technical expertise with the leadership and commercial judgement required to deliver AI solutions in a complex business environment.

• Have delivered multiple AI or machine learning solutions from inception through to production and monitoring. 

• Ideally having current or prior experience working in financial markets, quantitative finance, forecasting, derivative pricing, trading or institutional banking. 

• Bring strong hands-on expertise in machine learning, generative AI or agentic AI, supported by programming skills such as Python and SQL. 

• Can design solutions that are scalable, maintainable, observable and aligned to risk and governance requirements. 

• Have led technical teams, projects or capability uplift initiatives while continuing to contribute directly to delivery outcomes. 

• Can partner effectively with engineers, architects, product partners, business leaders and risk specialists. 

Working with us: 

At CommBank, we foster a culture of inclusion and respect, celebrating diversity across cultures, abilities, capabilities, skills, global locations, genders, gender expressions and sexual orientations. If this role excites you but you don’t meet every requirement, we still encourage you to apply as you may be the right fit for this role or another opportunity with us.

We’re committed to making a meaningful difference for Australia’s First Nations peoples and welcome all applicants. We are open to international talent that would love to experience working in Australia.

APPLY NOW to live your best life and do your best work with the world's #4 AI Banking leader(Evident AI Index 2025) and Australia's #1 Employer of Choice for growing careers(LinkedIn Top Companies 2026)