Data Scientist – Global Markets

Commonwealth Bank

Data Scientist leading applied AI and machine-learning solutions for Commonwealth Bank’s Institutional Banking & Markets. Shaping forecasting, trading and agentic AI initiatives with model-risk governance.

Posted 9/4/2026full-timeMelbourne • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep technical expertise in machine learning and AI solutions, with a strong focus on risk management, governance, and commercial viability. Proven ability to lead teams and influence stakeholders while delivering scalable solutions in institutional banking.

Highest-signal resume keywords

Machine Learning ExpertisePython ProgrammingSQL ProgrammingAI Solution DeliveryTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIAgentic AIModel ValidationData Quality AssessmentPerformance MonitoringScalable Solution DesignRisk ManagementGovernance PracticesForecasting

Soft Skills

CoachingMentoringStakeholder InfluenceCollaborationTechnical Communication

Industry Keywords

Institutional BankingFinancial MarketsQuantitative FinanceDerivative PricingTrading

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the design and delivery of applied AI solutions within Institutional Banking
Lead AI initiatives end to end, from problem definition and experimentation through production deployment and ongoing performance monitoring
Set technical direction while remaining hands-on with tools
Translate commercial and markets problems into scalable machine learning and agentic AI solutions
Establish modelling, validation, governance and monitoring practices for risk and model performance requirements
Partner with business, engineering, risk, governance teams and external technology partners
Develop data scientists and graduates through coaching, mentoring and technical leadership
Integrate AI delivery, engineering practice and business processes
Influence senior stakeholders by connecting technical decisions to commercial value, P&L and strategic outcomes
Design commercially viable delivery patterns
Apply model-risk judgement, including data quality, explainability, validation, drift monitoring and accountability for model outcomes

Requirements

What you’ll need

Deep technical expertise combined with leadership and commercial judgement in a complex business environment
Experience delivering multiple AI or machine learning solutions from inception through production and monitoring
Ideally, current or prior experience in financial markets, quantitative finance, forecasting, derivative pricing, trading or institutional banking
Strong hands-on expertise in machine learning, generative AI or agentic AI
Programming skills such as Python and SQL
Ability to design scalable, maintainable and observable solutions aligned with risk and governance requirements
Experience leading technical teams, projects or capability uplift initiatives while contributing directly to delivery
Ability to partner effectively with engineers, architects, product partners, business leaders and risk specialists

Benefits

Comp & perks

Accessible, inclusive and respectful workplace
Workplace support and adjustments for accessibility needs
Career development support for existing Commonwealth Bank Group employees