Manager Risk Modelling

Kiwibank is seeking a Manager Risk Modelling to join their team in Wellington, New Zealand. This role involves shaping credit risk models and decision strategies, using advanced analytics to improve customer, risk, and commercial outcomes. Join a team where you can belong, thrive, and make an impact.

Kiwibank is the bank that supports Kiwi to be better off, with a purpose to make a real difference for all New Zealanders. They foster a diverse, creative, and resilient work environment where people matter.

Apply Now to join the Kiwibank team and grow your career in an environment where you can belong.

Company Overview

Kiwibank is a New Zealand-based bank focused on making a real difference for all Kiwi. They pride themselves on reflecting the diversity, creativity, and resilience of Aotearoa, creating opportunities, supporting communities, and building a place where people can belong, thrive, and make an impact.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Qualifications: Bachelors Degree
• Experience: 5 Year+

Key Responsibilities

• Develop and optimise credit risk models and decision strategies across Retail, Business, and Commercial Banking portfolios.
• Ensure credit risk models remain fit for purpose, well governed, and aligned to Kiwibank's strategy and risk appetite.
• Use data, advanced analytics, and machine learning to solve complex problems, improve risk management, and identify opportunities.
• Provide trusted advice and recommendations to senior leaders, governance forums, and delivery partners.
• Shape credit risk models and decision strategies across Kiwibank.

Requirements

• Proven experience in credit risk modelling, data science, or advanced analytics within banking or financial services.
• Strong understanding of credit risk and decisioning across Retail, Business, or Commercial Banking portfolios.
• Advanced statistical and analytical capability, using tools such as SAS, R, Python, SQL, or equivalent technologies.
• Experience developing, implementing, monitoring, and optimising models or decision strategies.
• Confident communicating complex concepts and recommendations to technical and non-technical audiences.
• Relevant tertiary qualification in statistics, mathematics, data science, finance, or a related field.

Benefits

• Market leading benefits.
• Flexibility.
• Opportunities to grow your career.