Commonwealth Bank

Manager

• Identify opportunities to simplify policy, improve business rules, strengthen automation outcomes and reduce unnecessary manual intervention
• Review credit policies, processes and business rules to improve automated decisioning outcomes
• Translate analytical findings into practical policy and operational improvements
• Support decision engine and business rule optimisation initiatives
• Collaborate with analysts to identify trends, bottlenecks and root causes within application journeys
• Prepare recommendations and implementation plans for key stakeholders
• Assess customer, risk and operational impacts of proposed changes
• Support delivery of automation and process improvement initiatives
• Monitor outcomes and identify further opportunities to improve performance
• Partner with stakeholders across Credit Risk, Analytics, Operations, Product and Technology

Manager – Home Lending Credit Risk Automation

• Lead the end-to-end credit risk automation program and associated delivery roadmap
• Lead a newly established capability improving how home loan applications move through the credit assessment process
• Identify opportunities to improve automated decisioning outcomes
• Simplify policy and process frameworks
• Enhance customer experiences while maintaining responsible lending and risk standards
• Partner across Credit Risk, Home Buying, Operations, Product, Technology and Analytics
• Improve credit decisioning outcomes with analytics, technology and policy teams
• Translate analytical insights into practical policy, process and automation solutions
• Drive simplification initiatives that improve customer experience and operational efficiency
• Influence strategic decisions through data-driven recommendations and governance engagement
• Manage risks, dependencies and delivery priorities across multiple initiatives
• Build capability within a multidisciplinary team of credit risk and analytics professionals
• Foster collaboration, continuous improvement and evidence-based decision making

Senior Manager – Home Lending Credit Risk Automation

Account Executive

• Partner with Relationship Managers and Transaction Banking specialists to own, support and grow a portfolio of diversified institutional clients
• Develop trusted relationships with Treasury leaders and C-suite stakeholders
• Provide market insights and strategic advice supporting client decision-making
• Identify, originate and convert opportunities across working capital, cash management, payments and broader transaction banking solutions
• Analyse client businesses, operating models and financial performance to uncover value-creation opportunities
• Contribute to client strategy development and engagement planning
• Lead or support deal teams delivering tailored, client-centric banking solutions
• Collaborate with internal stakeholders to deliver client outcomes
• Support clients through payment ecosystem changes, treasury innovation and digital transformation initiatives
• Structure, negotiate and execute transaction banking opportunities
• Ensure activities comply with risk, compliance and regulatory requirements

Senior Associate – Account Management

• Lead and develop a national team of lending specialists supporting complex and bespoke Private Banking lending transactions
• Partner with bankers, credit and risk teams to structure and execute sophisticated lending solutions for high-net-worth clients
• Provide strategic oversight for complex lending scenarios, balancing customer needs, commercial outcomes and risk considerations
• Build a high-performance culture focused on technical excellence, accountability and customer outcomes
• Drive productivity, quality and operational excellence across the lending value chain
• Lead change, transformation and continuous improvement initiatives
• Influence senior stakeholders across Private Banking, Risk, Credit, Operations and the broader Group
• Translate strategic priorities into sustainable actions and measurable business outcomes
• Report directly to the General Manager, Private Banking

Executive Manager, Lending Solutions – Private Banking

Risk

• Provide independent Line 2 risk oversight, advice and challenge for the Consumer Lending portfolio
• Oversee and challenge business and technology change initiatives, with increasing focus on AI, automation and digital transformation
• Lead and contribute to assurance reviews, deep dives and risk assessments across Consumer Lending and operational risk themes
• Support issue management, RCSA oversight, risk insights and regulatory engagement
• Identify emerging risks and provide pragmatic, commercially focused risk-management advice
• Collaborate with Business, Line 1 Risk and other Risk functions across the Bank
• Deliver coordinated oversight and positive customer outcomes

Senior Operational Risk Manager

Data Analyst

• Design and optimise personalised customer communications using segmentation, propensity modelling, scoring and decisioning techniques
• Translate complex or ambiguous business needs into structured analytical approaches, measurable outcomes and practical recommendations
• Use Python and related analytical tools to automate manual processes and improve efficiency, quality and repeatability
• Develop Power BI reporting and self-service analytics for stakeholder decision-making
• Identify opportunities to embed AI into analytics, reporting and customer communications
• Partner with product, marketing and technology stakeholders to connect customer behaviour with engagement strategies
• Mentor analysts and senior analysts through technical challenges
• Share knowledge and strengthen analytical capability across the team
• Support CommBank Yello, Commonwealth Bank's customer recognition program, through advanced analytics

Advanced Analytics Manager – Retail Banking

Data Engineer

• Build scalable enterprise data products and pipelines
• Design and develop cloud-native data solutions using Snowflake and AWS
• Deliver trusted, analytics-ready datasets
• Improve platform performance, resilience and observability
• Drive automation and engineering best practices across the data lifecycle
• Partner with engineers, architects and business stakeholders to solve complex problems
• Support modern engineering approaches and AI-assisted development
• Mentor colleagues and contribute to continuous improvement
• Build secure, scalable and highly available data platforms supporting banking analytics, AI, fraud detection, customer intelligence and regulatory outcomes

Senior Data Engineer

Director

• Support the delivery of business management priorities across both sector teams, managing risks, issues and competing priorities
• Drive portfolio hygiene, reporting and data quality across client, financial and operational datasets
• Prepare performance reporting, financial analysis and decision-ready insights for senior leadership
• Partner with stakeholders across Finance, Risk, Compliance, Operations, Product, Data and Technology to resolve issues and deliver outcomes
• Identify and implement opportunities to leverage data, automation and AI to improve reporting and banker productivity
• Support the adoption of reporting tools, dashboards and process improvements that enhance operational effectiveness
• Foster a collaborative, high-performing culture and provide guidance to junior team members where required
• Partner closely with Managing Directors, sector leadership teams and approximately 100 frontline bankers across Diversified Industries and Energy, Commodities & Sustainability Coverage
• Manage competing priorities, resolve issues and coordinate multiple workstreams while maintaining accuracy, stakeholder service and delivery

Associate Director – Business Manager

Loan Specialist

• Own customer relationships throughout the lending journey
• Build rapport and provide expert advice
• Help customers achieve good outcomes
• Use a modern interaction platform for digital chats and outbound customer calls
• Use a modern lending platform for financial assessments, approvals, and settlements
• Work with the support of a Team Leader

Home Loan Specialist

AI Engineer

• Design, build, deploy and operate cloud-native services and AI-enabled experiences using AWS and modern engineering patterns
• Develop production-ready software across Python back-end services, Node.js layers and React-based user interfaces
• Contribute to architecture and design decisions, reusable platform components, integration patterns and API-led services across the HR Technology ecosystem
• Apply DevSecOps, CI/CD, observability and automation practices to improve security, operability and delivery quality
• Build or collaborate on AI agents and AI-powered features within the first three to six months
• Improve robustness, scalability and governance in the existing codebase
• Partner with Product Owners, Data Scientists, Principal Engineers and adjacent crews to deliver measurable outcomes for employee experiences
• Strengthen engineering foundations to improve scalability, resilience, security and engineering excellence

Staff Software Engineer, AI, Python, AWS

• Design and build scalable batch, streaming and analytical data pipelines
• Transform source data into trusted, reusable and analysis-ready datasets
• Create curated data layers, semantic models and reusable data products for dashboards, reporting and analytics
• Automate the dashboard data lifecycle, including ingestion, transformation, testing, deployment, monitoring, refresh and issue remediation
• Design and implement agentic workflows coordinating data preparation, quality validation, metadata generation, dashboard updates and operational support
• Build and maintain CI/CD pipelines using GitHub Actions
• Design data models, ontologies, taxonomies and common data definitions
• Implement data matching, entity resolution, deduplication and data cleansing solutions
• Build automated data quality, validation, reconciliation and observability controls
• Develop solutions for large and complex datasets using big data and distributed processing technologies
• Support productionisation and monitoring of machine learning and open-weight models
• Develop production-grade solutions using Python and/or R
• Establish engineering standards, mentor engineers and provide technical guidance
• Ensure data solutions meet security, privacy, resilience and governance requirements

Staff Data Engineer

Data Scientist

• 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

Data Scientist – Global Markets

Growth Marketing

• Lead the Professional Services growth strategy aligned to Business Banking priorities
• Identify customer needs, growth opportunities and emerging industry trends
• Design and deliver customer propositions and go-to-market initiatives
• Build partnerships across Business Banking, the broader Group and external industry networks
• Develop thought leadership, industry insights and banker enablement programs
• Support customer growth through innovative and practical solutions
• Embed strong governance, risk management and execution disciplines
• Lead the Professional Services growth agenda, translating customer and market insights into propositions, partnerships and go-to-market initiatives
• Bring stakeholders together across product, distribution, risk, digital, marketing and external partner networks
• Report to the General Manager, Industry Growth & Innovation

Executive Manager, Professional Services – Industry Growth & Innovation

Platform Engineer

• Set the technical direction for the Identity Services platform ecosystem
• Guide a team delivering reliable, secure, and cost-effective end-user computing solutions
• Shape the roadmap and strategy for team products and services
• Mentor engineers while remaining hands-on in the codebase
• Champion engineering principles, design patterns, and delivery quality
• Design, build, and improve secure, repeatable CI/CD pipelines and automation
• Apply AI tooling across coding, testing, and support
• Help engineers adopt AI tooling effectively
• Build platform services and support tools delivering measurable business value
• Lead transitions to target architectures
• Identify emerging technologies aligned with the Group’s strategic direction
• Promote knowledge sharing, documentation, and reusability
• Integrate risk management and secure engineering principles into technical decisions

Staff Platform Engineer

Compliance

• Act as the Business Banking Compliance Subject Matter Expert for the Scams Prevention Framework and related scams regulatory requirements
• Provide specialist expertise, interpretation and coordination while building SPF knowledge and capability across BB Compliance
• Support BB Compliance Advisors with specialist guidance on SPF obligations
• Provide specialist compliance expertise on SPF, scams legislation, regulatory expectations and Group requirements
• Promote consistent interpretation and application of SPF across Business Banking
• Provide regular updates on SPF regulatory developments, emerging issues and guidance
• Develop and deliver SPF training and capability uplift
• Liaise with the Group Regulatory Change and Framework team and Line 1 Regulatory Change team regarding SPF
• Represent BB Compliance in SPF consultations, advocacy and enterprise working groups
• Coordinate SPF governance, planning, prioritisation and management reporting
• Identify and escalate emerging SPF risks, issues and themes
• Provide specialist input on regulatory change, implementation, incidents, issues and compliance assessments
• Share insights and lessons learned to promote consistency and build capability across BB Compliance