- 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

- 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

Core Competencies

Demonstrates deep technical expertise in machine learning and AI solutions, with a solid 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 Expertise
- Python Programming
- SQL Programming
- AI Solution Delivery
- Technical Leadership

ATS Optimization Keywords

Hard Skills

- Machine Learning
- Generative AI
- Agentic AI
- Model Validation
- Data Quality Assessment
- Performance Monitoring
- Scalable Solution Design
- Risk Management
- Governance Practices
- Forecasting

Soft Skills

- Coaching
- Mentoring
- Stakeholder Influence
- Collaboration
- Technical Communication

Industry Keywords

- Institutional Banking
- Financial Markets
- Quantitative Finance
- Derivative Pricing
- Trading

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📌 Data Scientist – Global Markets (Melbourne)
🏢 Jobtailor
📍 Melbourne