Data Scientist, Institutional Banking

CommBank; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

CommBank in Melbourne is seeking a Data Scientist, Data Science & AI to design and deliver applied AI solutions within Institutional Banking. You will connect advanced modelling with commercial objectives to create measurable business impact.

You will lead end-to-end AI initiatives, mentor graduates, and collaborate with engineers, risk, and business partners to ensure safe, scalable deployment in a highly regulated environment.

Qualifications

• Proven record of delivering AI solutions end-to-end.
• Experience in financial markets or quantitative finance is a plus.
• Strong Python/SQL and ML knowledge.

Responsibilities

• Lead AI initiatives end to end, from problem definition to production deployment and monitoring.
• Set technical direction while staying on the tools.
• Translate complex commercial and markets problems into scalable ML and agentic AI solutions.
• Establish modelling, validation, governance and monitoring to meet risk requirements.
• Partner withBusiness, engineering, risk and governance teams to deliver safe outcomes.
• Develop data scientists and graduates through coaching and technical leadership.

Skills

Python

SQL

Machine Learning

Agentic AI

Leadership

Strategic thinking

Education

Bachelor's degree in a relevant field

Tools

AWS

Jupyter

Job description

• 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. Join a collaborative team where you'll work on high-impact opportunities, solve complex challenges, and build your career alongside industry experts.

As a Data Scientist, Data Science & AI, 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:

You combine deep technical expertise with the leadership and commercial judgement required to deliver AI solutions in a complex business environment. You'll thrive in a role where you're expected to influence strategy, uplift capability and remain actively involved in technical delivery.

• 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'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 ***.

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 ***.