Snr Consultant Credit Analytics Delivery
- 809224
- NSW- Sydney CBD
- NSW- Sydney inner
- VIC- Melbourne CBD
- Business Banking
- Permanent Full time
- Opening at: Sep 24 2026 - 06:00 AEST
- Closing at: Oct 9 2026 - 23:55 AEDT
- Apply analytics to enhance credit decisioning and Credit automation.
- Collaborate in the development and ongoing support of predictive models and AI-enabled credit solutions to improve credit decisioning, risk management, and customer outcomes.
- Partner across Risk, Data and Technology teams.
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 a Sr. Consultant Credit Analytics Delivery, you will join the Business Lending Credit strategy team that’s doubling down on customer obsession.
The Opportunity
At NAB, we're building the bank of the future through data, analytics and automation. As a Senior Consultant, Credit Analytics Delivery, you'll be a hands-on technical expert responsible for delivering advanced analytics, predictive modelling and machine learning solutions that improve credit decisioning and portfolio outcomes across Business Lending.
Working closely with Credit Strategy, Product Owners, Risk, Data & Analytics and Technology teams, you'll translate complex business problems into actionable insights and scalable analytical solutions. You'll play a key role in enhancing automated credit strategies while maintaining strong risk and control standards.
In this role, you will:
- Develop analytical Insights that support Business Lending credit strategies and drive better business outcomes.
- Partner with stakeholders across Credit Strategy, Risk, Product and Technology to identify opportunities and solve complex credit challenges.
- Support the design, monitoring and optimisation of automated decisioning strategies and credit risk frameworks.
- Provide technical expertise, coaching and peer review to uplift team capability.
- Explore emerging technologies, AI techniques and alternative data sources to drive innovation and continuous improvement.
What you'll bring
- Experience in Credit Risk, Business Lending, Financial Services, Data Science or Advanced Analytics.
- Strong capability in predictive modelling, machine learning and statistical analysis.
- Advanced Python programming and analytics delivery experience.
- Experience working with decision systems, analytical tools and model development frameworks.
- Strong problem-solving, stakeholder management and communication skills.
- A risk mindset with the ability to balance innovation and governance.
- Tertiary qualifications in Data Science, Statistics, Mathematics, Engineering or a related quantitative discipline.
This is full-time permanent opportunity and can be performed from either Melbourne or Sydney.
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, or alternate methods to apply for this role, 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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