Associate Director, Credit Validation

NAB; Adelaide; On-site; AUD 140,000 - 180,000; Full time

Job summary

NAB is seeking an Associate Director to join the Risk Frameworks, Execution and Models Team in leading independent validation of IRB, IFRS9, and credit decisioning models across the portfolio. You will assess data quality, calibration, and performance under varied economic conditions, while challenging outcomes that diverge from risk appetite.

You will partner with model owners, ensure findings drive capital and RWA decisions, and act as a technical authority on validation matters.

Qualifications

• Experience in banking/financial services, model development/validation, credit risk, and/or governance.
• Strong statistical and economic modelling skills with coding languages essential (Python, SAS).
• Strong engagement and influencing skills with the ability to work closely with multiple stakeholders, to convey complex ideas clearly and deliver outcomes
• Understanding of how models affect credit decisions, capital, provisioning, stress testing and scenario analysis.
• Strong written communication skills with the ability to write detailed validation reports to outline findings and model rating outcomes backed by analytical evidence
• Openness and thought leadership to adopt AI tools for credit validation.
• Excellent strategic thinking, resilience, autonomy, and a customer focused mindset are essential for this role.

Responsibilities

• Lead independent validation of IRB, IFRS9 and credit decisioning models.
• Assessing conceptual soundness of rating philosophies, data quality, calibration and performance testing across economic conditions incorporating state of the cycle assessments.
• Oversee validation of model performance through the credit life cycle, including portfolio and segment level outcomes, interaction with RWA overlays, expert judgement and management adjustments.
• Provide credible challenge where outcomes diverge from expectations and 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.

Skills

Statistical modelling

Economic modelling

Python

SAS

Stakeholder engagement

Communication

Job description

• Offers opportunity to challenge existing approaches and modelling methodologies.
• Offers variety across different projects, from IRB, IFRS9 and internal operational models applying innovative validation techniques.
• Join a supportive and collaborative team in this high-profile role.

Our people are customer obsessed. They work in close partnership to prioritise customer needs and deliver exceptional outcomes. This collaborative mindset enables innovation and builds enduring customer relationships supporting our ambition to be the most customer‑centric company in Australia and New Zealand.

As the Associate Director, you will join the Risk Frameworks, Execution and Models Team that is doubling down on shaping our strategic Model Risk validation approach while protecting our customers.

You’ll make an impact by:

• Leading independent validation of IRB, IFRS9 and credit decisioning models.
• Assessing conceptual soundness of rating philosophies, data quality, calibration and performance testing across economic conditions incorporating state of the cycle assessments.
• Oversee validation of model performance through the credit life cycle, including portfolio and segment level outcomes, interaction with RWA overlays, expert judgement and management adjustments.
• Provide credible challenge where outcomes diverge from expectations and 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.

You’ll bring to this role:

• Previous experience in banking/financial services, model development/validation, credit risk, and/or quantitative modelling roles (developing models, extracting data), and/or governance.
• Strong statistical and economic modelling skills with coding languages essential (python, SAS)
• Strong engagement and influencing skills with the ability to work closely with multiple stakeholders, to convey complex ideas clearly and deliver outcomes
• Understanding of how models affect credit decisions, capital, provisioning, stress testing and scenario analysis.
• Strong written communication skills with the ability to write detailed validation reports to outline findings and model rating outcomes which are backed by sound analytical evidence and rationale
• Openness and thought leadership to adopt AI tools for credit validation.
• Excellent strategic thinking, resilience, autonomy, and a customer focused mindset are essential for this role.

A diverse and inclusive workplace works better for everyone

We know that when our colleagues feel valued and celebrated for who they are, our customers experience banking that’s fairer, more accessible, and designed with who they are in mind. That’s why we’ve built a culture of inclusion and respect, where colleague voices are heard and valued, and everyone is supported to bring their authentic selves to work.

Join NAB

At NAB,we’recommitted to supporting our colleagues with a comprehensive range of benefits designed to help you thrive both professionally and personally, including enhanced leave options, wellbeing support, access to NAB Perks, and ongoing career development opportunities.

Please note candidate screening and interviews may be conducted prior to the closing date of the job advert.

Unsolicited CVs from agencies will not be accepted.