Use risk evidence and data to help shape safer decisions across Australian rail.

Why ARISO – why now

ARISO brings industry and governments together around a national ambition: rail standards that are practical, trusted and increasingly harmonised across jurisdictions. By strengthening consistency and interoperability, our work can reduce unnecessary complexity, support safer operations and help unlock productivity across the Australian rail system. We are building the capability, systems and partnerships needed to turn that ambition into lasting industry outcomes.

ARISO is collaborative and connected, with clear decision pathways and meaningful access to senior leaders and industry decision-makers. You will have visible ownership of your contribution, with flexible working arrangements that support participation from across Australia. We also welcome relevant transferable capability from other regulated and safety-critical sectors.

Your opportunity to make an impact

ALCAM and ARRM are important national rail risk systems. ARISO wants to build on that foundation and evolve them into increasingly integrated, data-driven tools that provide stronger insight for safety decisions, standards and reform. Reporting to the Head of Quality and Practice, as Risk Systems Manager you will lead that evolution. You will combine risk modelling, analytics, data stewardship and stakeholder leadership to strengthen model integrity, improve usability and turn evidence into practical insight. Your work will help ARISO and industry identify systemic issues earlier, make better-informed decisions and focus effort where it can have the greatest safety benefit.

What you will shape and deliver

Redesign risk-system architecture to enable predictive, decision-ready analytics.

Sustain robust validation, change control and model governance.

Produce rigorous statistical, risk and trend analyses to surface systemic issues.

Strengthen ALCAM/ARRM user guidance, training and correct interpretation.

Lead technical forums to resolve methodological issues through transparent evidence.

Direct approved system changes and supplier work to protect functionality and security.

Track and report system health, data quality and support demand with clear insights.

What you’ll bring

You are an analytical, curious risk professional who enjoys making complex evidence useful. You bring practical experience in safety risk modelling or probabilistic risk assessment, confidence with data and systems, and the judgement to distinguish signal from noise. You can challenge assumptions without losing people, explain quantitative evidence clearly and bring technical stakeholders together around proportionate decisions. Direct ALCAM or ARRM experience is valuable, but strong transferable capability from other high-hazard or safety-critical environments is also welcome.

Tertiary qualifications in engineering, mathematics, statistics, data science, risk or a related quantitative discipline.

Practical experience in safety risk modelling, probabilistic risk assessment or systems safety in complex/high-hazard contexts.

Proven governance of software-based models/databases, including change, validation, supplier and continuity controls.

Strong capability in data stewardship, statistical analysis and visualisation, translating findings into actionable advice.

Excellent facilitation, negotiation, training and communication for technical, operational and executive audiences; ability to challenge misuse and secure consensus.

Understanding of safety legislation, SFAIRP reasoning, standards or comparable risk-based decision frameworks.

Also valued: Direct experience with ALCAM, ARRM, level-crossing risk, rail safety data or national technical committee governance.

Role at a glance

Reports to: Head of Quality and Practice

Location: Flexible / remote working arrangements across Australia

Employment: Full-time

Inclusion and accessibility

We welcome applications from people of all backgrounds, experiences and identities. If we can make adjustments to the recruitment process to support you, please let us know.

How to apply

Please submit your CV plus a maximum two-page statement addressing your motivation for the role, relevant evidence against the opportunity and accountabilities, and the unique contribution you would make.