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