This is an exciting opportunity to join Hyundai Capital Australia (HCAU) during a period of significant growth! HCAU is the Australian finance provider for Hyundai, Kia and Genesis, delivering innovative finance solutions that support the Hyundai Motor Group (HMG) brands. HMG is Korea's 2nd largest conglomerate focusing on automobiles, auto parts, finance and more.

We are seeking a highly motivated Risk Analytics & Modelling Manager to join our Risk Management team reporting to the Risk Modelling Senior Manager. This role is responsible for driving data-driven decision making across credit risk and residual value risk including portfolio data management, pricing, forecasting and provisioning. The successful candidate will combine strong analytical capabilities with a proactive attitude to deliver insights, optimise risk strategies, and support business growth.

Prior risk modelling experience is desirable but not essential. We welcome candidates with strong data and analytical skills, a willingness to learn, and a "can-do" mindset.

What you’ll do:

- Develop, monitor, and enhance application scorecards, risk policy rules and automated decisioning strategies to improve credit portfolio performance and operational efficiency.
- Develop, monitor, and enhance vehicle residual value setting and forecasting to support Guaranteed Future Value and lease products.
- Conduct credit and vehicle risk portfolio performance monitoring and identify opportunities for optimisation.
- Support pricing through periodic Credit Expected Loss and Residual Value updates.
- Manage monthly retail credit and residual value loss provisioning and mid-month forecasting.
- Support annual Forward-Looking Factor reviews and updates.
- Prepare monthly credit risk and residual value risk dashboards, portfolio analytics, and management reporting.
- Manage and maintain portfolio credit and residual value risk data, including cleansing of data used for data analytics and modelling purposes.




- Liaise with Information Technology to enable appropriate data provision and capture in core systems, Data Warehouse and risk databases.
- Facilitate Risk Control Committee (RCC) reporting and governance activities.
- Support Head Office and senior management requests and reporting requirements.
- Monitor Enterprise Risk Metrics and contingency framework indicators.

Your skills & experience:

- Strong analytical and problem-solving mindset with advanced proficiency in Python or R, and SQL.
- Experience analysing large datasets and translating insights into business outcomes.
- Strong sense of ownership, accountability, and responsibility with excellent communication and stakeholder management skills.
- Positive, proactive, and collaborative attitude with the ability to manage multiple priorities and work independently.
- Experience in financial services, risk analytics, data science, or related fields.
- Experience in Machine Learning, predictive analytics, or AI-driven decisioning models is highly regarded but is not essential.
- Knowledge of credit risk, portfolio analytics, provisioning, or scorecard development.
- Experience with IFRS 9, Expected Credit Loss (ECL), PD, LGD, or pricing analytics is advantageous.

What we offer you:

- A flexible hybrid working workplace.
- WELL Core Platinum certified office.
- Competitive base salary & bonus structure.
- Health & Wellbeing allowance.
- Access to our Employee Assistance Program.
- 14 weeks of paid parental leave for primary carers.
- A fun and collaborative team with great work life balance.
- Employee Car Benefit Scheme.

HCAU is an equal opportunity employer. We celebrate diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. We support an inclusive environment for all employees and employment is decided on the basis of qualifications, merit and business need. If reasonable accommodation is required to fully participate in our interview process please contact: [email protected]

📌 Risk Analytics & Modelling Manager (Sydney)
🏢 Hyundai Capital Australia
📍 Sydney