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About the Role

Join the Enterprise Risk team to transform operational risk management by building intelligent, automated risk solutions that provide real-time insights and support better decision-making. This role moves beyond traditional reporting to leverage data, automation, and AI.

Responsibilities

• Design and build automated risk reporting, dashboards, and analytics using Power BI and other visualization tools.
• Develop scalable data solutions to improve operational risk monitoring, reporting, and governance.
• Apply AI and automation to streamline workflows, enhance risk identification, and improve control effectiveness.
• Build end-to-end dashboards from the ground up, transforming complex datasets into meaningful business insights.
• Analyze large datasets to identify trends, emerging risks, and opportunities for continuous improvement.
• Partner closely with Risk, Technology, and business stakeholders to translate business problems into data-driven solutions.
• Support the ongoing enhancement of the Operational Risk Framework through innovative technology and analytics.
• Work with data sourced from Atlas and other enterprise systems to deliver high-quality reporting and insights.

Requirements

• Experience as a Data Scientist, Data Engineer, Analytics Engineer, or similar technical role.
• Advanced SQL and Python skills, with experience manipulating and analyzing large datasets.
• Strong Power BI capability, including designing and building dashboards from scratch using robust data models and DAX.
• Experience developing automation solutions and improving business workflows.
• Exposure to AI, machine learning, or Generative AI applications in a commercial environment.
• Strong analytical mindset with the ability to communicate technical insights to non-technical stakeholders.
• Experience working with data pipelines, reporting solutions, and enterprise data platforms.
• Experience within financial services or regulated environments will be highly regarded.
• Knowledge of operational risk, governance, or GRC platforms is advantageous but not essential.
• Must provide evidence of eligibility to work in Australia.
• Must undertake police and basic credit checks as a condition of employment.

Skills

• Data Engineering
• Analytics
• AI
• Visualization
• Power BI
• SQL
• Python
• DAX
• Automation
• Machine Learning
• Generative AI

Location

• Australia

Work Type

• Full-time

Experience Level

• Advanced

About the Company

• Insignia Financial is committed to acknowledging and celebrating the richness that individual differences bring to our team.

Equal Opportunity

• We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.