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Audit manager - data scientist models

Melbourne
NAB
Data Scientist
Posted: 18 February
Offer description

Newly created positions to join NAB’s Internal Audit’s Models Centre of ExcellenceDeliver risk‑based audits across the full model lifecycle—from governance and design through to validation, implementation, use and performance monitoring.Bring your positive, curious and agile mindset to Internal Audit.

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.

In the role of Audit Manager, you will join Internal Audit’s Models Centre of Excellence to win together through leading practice model risk capability.

Each Day You Will Go Above And Beyond To

Build strong relationships with internal stakeholders and industry peers to stay across emerging model risk trends and best practice.Provide independent assurance across the model lifecycle.Lead planning, risk assessment, testing, and reporting for model risk audits.Evaluate quantitative models end to end to assess assumptions, data, methods, governance, and compliance, identifying control gaps and emerging risks and recommending improvements.Bring early visibility to existing and emerging model risk issues and strengthens assurance for Audit Executives, Senior Management and the Board.

What You’ll Bring

Knowledge of the end-to-end model lifecycle (in at least one modelling discipline*), including development, validation implementation, use, and ongoing performance monitoring.Ability to objectively challenge models in context of their intended use, identifying model risk, control gaps and limitations; assessing the materiality of issues and prioritising actions.Quantitative or actuarial capability, with ability to generate insights and apply model outcomes to improve business and risk decisions.Proficiency in one programming language e.g. SQL, Python, R, SAS.Bachelor’s degree in mathematics, Statistics, Econometrics, Data Science, or Information Technology.Years of experience in a modelling environment (e.g., model development, monitoring, validation or review) within financial services.Experience in at least one specialist domain such as: Credit Risk, Market Risk, Treasury/Liquidity or Non-Financial Risk.

We respectfully ask candidates to hold any questions for the phone interview, where we’ll discuss the role in detail and answer any questions. This helps to ensure a focussed, efficient and fair application process. The talent acquisition team looks forward to addressing all inquiries at that time if your application progresses.

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.

We are committed to providing an environment where you can work your way.

For details on the recruitment process, and accessibility, please visit https://www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team, via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options.

Join NAB

If you think this role is the right fit for you, we would love to hear from you. 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.

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