Job Description
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Lead the design and delivery of applied AI solutions within Institutional Banking
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Lead AI initiatives end to end, from problem definition and experimentation through production deployment and ongoing performance monitoring
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Set technical direction while remaining hands‐on with tools
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Translate commercial and markets problems into scalable machine learning and agentic AI solutions
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Establish modelling, validation, governance and monitoring practices for risk and model performance requirements
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Partner with business, engineering, risk, governance teams and external technology partners
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Develop data scientists and graduates through coaching, mentoring and technical leadership
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Integrate AI delivery, engineering practice and business processes
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Influence senior stakeholders by connecting technical decisions to commercial value, P&L; and strategic outcomes
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Design commercially viable delivery patterns
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Apply model-risk judgement, including data quality, explainability, validation, drift monitoring and accountability for model outcomes
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Requirements
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Deep technical expertise combined with leadership and commercial judgement in a complex business environment
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Experience delivering multiple AI or machine learning solutions from inception through production and monitoring
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Ideally, current or prior experience in financial markets, quantitative finance, forecasting, derivative pricing, trading or institutional banking
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Robust hands‐on expertise in machine learning,



generative AI or agentic AI
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Programming skills such as Python and SQL
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Ability to design scalable, maintainable and observable solutions aligned with risk and governance requirements
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Experience leading technical teams, projects or capability uplift initiatives while contributing directly to delivery
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Ability to partner effectively with engineers, architects, product partners, business leaders and risk specialists
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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.
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Highest-signal resume keywords
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Machine Learning Expertise
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Python Programming
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SQL Programming
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AI Solution Delivery
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Technical Leadership
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ATS Optimization Keywords
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Hard Skills
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Machine Learning
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Generative AI
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Agentic AI
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Model Validation
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Data Quality Assessment
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Performance Monitoring
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Scalable Solution Design
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Risk Management
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Governance Practices
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Forecasting
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Soft Skills
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Coaching
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Mentoring
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Stakeholder Influence
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Collaboration
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Technical Communication
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Industry Keywords
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Institutional Banking
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Financial Markets
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Quantitative Finance
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Derivative Pricing
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Trading
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📌 Data Scientist - Global Markets (Victoria)
🏢 Jobtailor
📍 Victoria