• Gain exposure to a wide range of stakeholders across the bank  

• Shape the future of credit validation at NAB 

• Join a supportive and collaborative team in this high-profile role 

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.

As the Head of Credit Validation, you will join the Risk Frameworks, Execution and Models Team that is doubling down on shaping our strategic Credit Validation approach, challenging our model owners and developers to deliver high performing models, while protecting our customers.  

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

• Lead independent validation of IRB and other credit risk models to assess conceptual soundness of rating philosophies; data quality and representativeness; calibration and performance testing; benchmarking and sensitivity analysis; stability and back‑testing across economic conditions. 

• Approve validation conclusions and conditions of use for credit models. 

• Oversee validation assessment of model performance through the cycle, including drift, instability, and bias; portfolio and segment‑level outcomes; interaction with overlays, expert judgement and management adjustments. 

• Provide credible challenge where outcomes diverge from expectations or risk appetite. 

• Ensure validation conclusions are reflected in capital usage and RWA outcomes; credit decisioning frameworks; limitations, overlays, and monitoring requirements. 

• Partner with model owners to ensure findings are remediated appropriately. 

• Act as Line 2 technical authority on credit model validation matters. Support regulatory reviews, deep dives, and supervisory engagement relating to IRB models. 

• Lead and develop a team of credit validation specialists.  

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

• Extensive experience in banking/financial services, risk, analytics, and/or model development/validation, and/or quantitative discipline preferred (i.e. Mathematics, Engineering, Data Science). 

• Strong knowledge and experience across model governance/validation/model risk roles will be highly regarded.  

• Strong engagement and influencing skills with the ability to work closely with multiple stakeholders, to convey complex ideas clearly and concisely and deliver outcomes.  

• Strong understanding of how models affect e.g.: credit decisions and capital (IRB where relevant); provisioning (IFRS9/ECL drivers); stress testing and scenario analysis; pricing and customer decision. 

• AI/ML awareness including an understanding of the regulatory environment relating to the use of AI to challenge the development and implementation of AI/GenAI/Agentic models (vendor or “in-house” models) for a variety of use. 

• Familiarity with model monitoring approaches for ML and ability to challenge ML models (GBM, random forests, neural nets) at the governance and validation level. 

• Excellent quantitative skills, strategic thinking, strong leadership capability, resilience, autonomy, and a customer focused mindset are essential for this role, including experience leading a team.