Skip to main content

Associate Director, AI Validation

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
NAB
Melbourne VIC
Full Time

Apply for this job

Posted 5 months ago
This role is expired

These roles are hiring now

View all AI roles →

Lead AI Engineer

Westpac Group
Sydney, NSW
hybrid
  • Lead AI engineering initiatives and develop machine learning solutions
  • 5+ years AI/ML engineering experience
  • Python, TensorFlow, PyTorch, MLOps, cloud platforms
Posted 2d ago

Principal AI Engineer

Catapult Sports
Melbourne, VIC
  • Own core AI intelligence architecture for sports performance platform
  • Senior technical leadership role with no tech lead above you
  • Neo4j, Go, LLM reasoning, knowledge graphs, AWS Bedrock
Posted 16h ago

Senior Fullstack AI and Automation Engineer

Macquarie Group
Sydney, NSW
hybrid
  • Design and develop AI-driven automation solutions for cybersecurity
  • Senior level experience with agentic AI and LLM-based solutions
  • Flask, FastAPI, LLM integration, agentic AI, data pipelines
Posted 18h ago

Senior Manager – Model and AI Risk and Governance

Macquarie Group
Sydney, NSW
hybrid
  • Independent oversight of model risk management and AI risk governance
  • Demonstrable experience in model risk, technology risk, or AI governance
  • Critical thinking, stakeholder management, independent judgment
Posted 4d ago
  • 12month fixed-term  

  • We are empowered to make a positive difference for our customers and communities 

  • You’ll be supported to manage your career, work and life  

  • Be rewarded and recognised for the value you bring  

Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else.  Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand. 

Each day, you’ll go above and beyond to:  

  • Report to Head of Enterprise Validation 

  • Work with Enterprise Model Validation (EMV), a specialised model risk management function conducting in depth assessment of all model risk related measures 

  • Be able to establish connections between sophisticated modelling techniques and strategic decision-making processes 

  • Validate the high material models used in the Bank. This includes stakeholder / model owner engagement, writing of a validation report, assigning a validation rating of models and negotiating remedial actions following a validation, etc. 

  • Identify of business improvements in relation to models. 

  • Provide a model risk advisory role to the business and add value through your independent review and challenge of existing models. 

  • Produce regular validation information to the Group Model Risk Committee regarding model performance. 

  • Support the pipeline of model validation activity 

  • Assist with engagement to senior management, regulators, professional bodies and other interested stakeholders on the performance of enterprise models. 

  • Support / coaching of / sharing of knowledge with team members as required. 

  • Maintain fluency with industry standards and methodologies relating to AI/Gen AI and other new modelling techniques. 

We are looking for the best and brightest to deliver the best for our customers. You’ll need: 

  • Possess a minimum of 5 years’ experience in financial risk including both risk management and quantitative modelling (preferably within the banking sector) 

  • A strong quantitative background is a prerequisite. 

  • Hold a graduate degree (preferably Masters or PhD) in a quantitative field such as Computer Science, Engineering, Applied Finance, Statistics, Mathematics and Computational Finance. 

  • Familiarity with development and implementation of AI/GenAI/Agentic models (vendor or “in-house” models) for a variety of uses. 

  • Experience with building AI models (supervised/unsupervised) and GenAI (RAG/S-RAG/Chatbot). 

  • Demonstrate deep understanding of the regulatory environment relating to the use of AI. 

  • Be familiar with development and implementation of risk models (vendor or “in-house” models) for a variety of lending products. 

  • Strong computer literacy is essential, familiarity of Excel/SAS/SQL/R/Python 

  • Strong analytical capability and experience. 

  • Good business acumen 

  • Good communication skills both written and verbal. 

A diverse and inclusive workplace works better for everyone  

We know that our people make us who we are. That's why we have built a culture of equity and respect – where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs) we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated.   

Join NAB  

If you believe this role suits you, please apply. Note that screening and interviews may occur before the job advert closes. Unsolicited CV’s from agencies are not accepted.