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Data Scientist - Global Markets

JobtailorMelbourne, Victoria🇦🇺AustraliaPosted 6 Sept 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia
SQLMachine LearningGenerative AIPython

Job Description

  • 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 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 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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