Senior Modeller at Westpac New Zealand

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Credit risk modelling, Statistical modelling, Mathematical modelling, Data management, SAS, SQL, R, Python, Technical documentation, Stakeholder engagement, Regulatory compliance, Model monitoring, Data visualisation, Stress testing, Pricing, Decisioning

Industry

Banking

Description

Mō te tūranga | About the Role Working within Risk’s Quantitative Risk Management (QRM) team you will be managing credit risk models across the model life cycle with a focus on model development and monitoring. This work has a direct influence on the Bank’s credit profile with a particular focus in statistical and mathematical modelling alongside enhanced data management practices. Working within QRM, you’ll provide quantitative risk expertise, lead modelling projects, mentor junior staff, and maintain high-quality outcomes within Westpac’s collaborative culture. Your work will drive best-in-class analytics, support the ‘One Westpac’ team approach, and establish best practices in modelling, analytics, coding, documentation, and data visualisation. If this sounds exciting, and you want to work in an environment where models make a difference…we would love to hear from you! Key Responsibilities: Develop and monitor credit risk models for both retail and non-retail portfolios. Ensure models meet regulatory compliance and governance frameworks, support model through review process. Conduct regular model performance monitoring and communicate key findings. Develop and grow technical expertise in credit risk modelling, collaborating across stress testing, pricing, climate change and decisioning team, and sharing knowledge with the wider QRM team and broader bank Work towards establishing best practice procedures in modelling, analytics, coding, documentation, and data visualisation. Challenge existing processes to improve efficiency, accuracy, and quality of outputs. Foster a high-performance culture driven by achievement, teamwork, and integrity. Promote a ‘One Westpac’ team approach to enhance internal collaboration and a strong company culture. Nā tāu rourou | What will you bring? Tertiary qualification in Statistics, Mathematics, or a related field. Proficiency in at least one analytical programming language (SAS, SQL, R, Python or similar), with a willingness to pick up new tools quickly. Ability to write clear technical documentation, communicate findings and analyses confidently to senior stakeholders, and apply careful attention to detail throughout the model development process - including an openness to challenge. Familiarity with regulatory framework such as the Basel Accord, RBNZ Banking Prudential Requirements, APRA Prudential Standards, or IFRS is a bonus but not required. A collaborative mindset focused on delivering results and contributing to team performance Strong stakeholder engagement skills - comfortable keeping projects moving by proactively managing timelines and working with others to resolve blockers before they become issues. Westpac Hei Wāhi Mahi | Working at Westpac Immersing yourself in a supportive team environment, and receive some of the best banking, and lifestyle benefits in the market along with: 4 weeks standard holiday + 5 additional days of wellbeing leave to support you to be your best Additional purchased leave options up to 4 weeks per year Banking benefits, insurance discounts and superannuation scheme Career growth – we promote internal capability; we have programmes that recognise star performers Generous parental leave – and top up government paid parental leave School holiday subsidy - help you balance work and family during school holiday 2 Volunteer days per year Ko mātou tēnei | Our Organisation At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to Create Better Futures Together. What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you! Tono mai ināianei! | Apply Now! Apply today with your CV and Cover Letter. The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodiverse, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities. Mahi tahi tātou, kaha ake tātou | Together Greater Applications close: 8 April 2026 Our culture is rich with stories of how our people like to help, our customers, our community and each other. This is reflected through flexible working arrangements to ensure that our people have a balance in their life with those things that are important to them. Through ensuring that we provide opportunities to everyone regardless of what society throws at them, we are a safe place to work where you are treated equally and appreciated.

Responsibilities

The Senior Modeller will manage credit risk models across their lifecycle, focusing on development, monitoring, and regulatory compliance. They will also lead modelling projects, mentor junior staff, and drive best practices in analytics and data visualisation.