Associate Technology Risk Intelligence

About the role

As an Associate, Technology Risk Intelligence in the Risk, Group Technology team, you’ll support the Technology Risk Intelligence practice to deliver trusted, repeatable and decision‑useful risk insights and AI‑enabled outputs that strengthen the team’s ability to provide clear, data‑led risk insight and challenge. You will help deliver monitoring and analytics across material Technology and Information Security (Cyber) risk themes, support thematic reviews, events/issue analysis and governance, and contribute to evidence collation, indicator analysis and synthesis of key risk insights.

Key responsibilities

• Support the Senior Manager and Risk Managers to deliver prioritized insight use‑cases aligned to risk appetite, Board/ExCo metrics and material risk themes.
• Build and maintain insight assets such as datasets, definitions, lineage notes, dashboards and briefing packs.
• Execute repeatable insight routines (indicator analysis, trend synthesis, evidence collation, first‑draft packs) using approved automation and AI‑enabled tooling.
• Provide analytical support for independent oversight, review and challenge activities across Technology domains.
• Prepare draft insight packs and dashboard views that link metrics to material risk themes and recommended actions.
• Coordinate with Technology, Cyber, Risk, Data and Internal Audit stakeholders on analytics, definitions, thresholds and evidence expectations.

Required profile

• Experience in technology/cyber risk, operational risk, assurance, analytics or a related discipline within a complex regulated environment.
• Strong analytical and data skills, including working with datasets, applying defined metrics/KRIs and translating analysis into clear risk observations.
• Foundational understanding of technology and cyber controls and resilience concepts.
• Exposure to automation and AI‑enabled workflows (e.g., Copilot/LLM agents) with awareness of governance and human accountability requirements.
• Good written communication skills and ability to work effectively in a matrixed model.
• Working knowledge of APRA standards relevant to technology and cyber (CPS 230, CPS 234).

Required skills

• Automation tools and AI‑enabled tooling (e.g., Copilot/LLM agents).
• Risk tooling platforms such as GRC, issue/action management, control testing and service management systems.
• Data science, analytics engineering and automation techniques in a governed enterprise setting.
• Working with datasets, metrics/KRIs and data lineage documentation.

What we offer

• Flexible working options, including hybrid work where the role allows it.
• Access to health and wellbeing services.
• A diverse and inclusive workplace where 90 % of employees feel they belong.
• Opportunities to develop expertise across regions, governance requirements and Group standards.