AI-Driven Credit Analytics Delivery Lead

NAB; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

NAB in Australia seeks a Manager for Credit Analytics Delivery to lead a technical analytics team delivering strategic initiatives for Business Lending Credit strategies. You will stay hands-on in advanced analytics, monitoring, automation, machine learning and data-driven insights to support improved credit decisioning and risk management.

You will work with Credit Strategy, Product, Technology and Data & Analytics to shape automated credit decisioning capabilities while upholding strong

Qualifications

• Experience in Financial Services, Credit Risk, or Risk Analytics.
• Strong Python and data analytics delivery capabilities.
• Experience with decision systems and automated decisioning.
• Knowledge of machine learning and modern analytics.
• Proven leadership of technical teams.
• Excellent stakeholder management and communication.
• Governance-focused with risk mindset.

Responsibilities

• Lead a team of analytics professionals while delivering strategic initiatives.
• Develop insights to support lending strategies and outcomes.
• Drive monitoring, controls, and performance reporting.
• Mentor analytics specialists and build capability.
• Collaborate with Credit Strategy, Product, Technology, Risk.
• Evaluate emerging technologies including AI.
• Ensure governance and early risk detection in monitoring.

Skills

Python

Analytics delivery

Automation

Data-driven problem solving

Stakeholder management

Leadership

Education

Tertiary qualification in quantitative discipline

Tools

Decision systems

Automated decisioning platforms

Microservices architectures

Job description

NAB in Australia seeks a Manager for Credit Analytics Delivery to lead a technical analytics team delivering strategic initiatives for Business Lending Credit strategies. You will stay hands-on in advanced analytics, monitoring, automation, machine learning and data-driven insights to support improved credit decisioning and risk management.

You will work with Credit Strategy, Product, Technology and Data & Analytics to shape automated credit decisioning capabilities while upholding strong