ANZ Recruitment 2026 – Associate Technology Risk Intelligence in Bengaluru
ANZ is inviting applications for the position of Associate Technology Risk Intelligence in Bengaluru, Karnataka. This permanent opportunity sits within the Chief Information Risk Office, under the Risk division, and focuses on technology risk analytics, cyber risk oversight, governance reporting and AI-enabled insights.
The selected candidate will support Senior Managers and Risk Managers in analysing technology and information security risks, preparing dashboards and insight packs, monitoring risk indicators, and improving repeatable reporting routines. The role is suitable for candidates with relevant experience in risk, analytics, assurance, technology or cybersecurity within a regulated environment. The application deadline is 31 October 2026 at 11:59 PM IST.
Quick Job Snapshot
| Company | ANZ |
| Role | Associate Technology Risk Intelligence |
| Requisition ID | 124088 |
| Department | Chief Information Risk Office |
| Division | Risk |
| Qualification | Specific degree requirement not stated in the supplied description |
| Experience | Relevant experience in technology/cyber risk, operational risk, assurance, analytics or a related discipline is desirable |
| Eligible Batch | Not specified |
| Salary | Not disclosed |
| Job Type | Permanent |
| Work Mode | Flexible working options, including hybrid where the role allows; exact arrangement not specified |
| Job Location | Bengaluru, Karnataka, India |
| Working Hours | 7:00 AM to 4:00 PM |
| Last Date to Apply | 31 October 2026, 11:59 PM IST |
Role Overview
The Associate Technology Risk Intelligence professional will help ANZ’s Risk, Group Technology team produce reliable, repeatable and decision-useful insights about technology and information security risks. The role supports independent risk oversight by analysing indicators, gathering evidence, identifying trends and preparing clear reporting materials for review by senior colleagues.
The position also involves using approved automation and AI-enabled tools to support dashboards, trend analysis and first-draft reporting. Responsible tool use, data quality, privacy, security, governance and human accountability are important parts of the work. The role has a developing scope, with guidance from Senior Managers and Risk Managers.
Key Responsibilities
- Risk analytics: Support prioritized insight use cases aligned with risk appetite, executive reporting metrics and material technology risk themes.
- Indicator monitoring: Analyse risk indicators, key risk indicators (KRIs), thresholds and trends to help identify concerns requiring review.
- Dashboard and reporting development: Build and maintain datasets, dashboards, insight definitions, lineage notes and briefing packs.
- Data quality and governance: Apply agreed standards for metric calculations, data quality, reproducibility, documentation and auditability.
- AI-enabled workflows: Support repeatable analysis, evidence collation, trend synthesis and draft reporting using approved automation and AI tools where authorised.
- Technology and cyber risk oversight: Prepare analysis and summarize evidence to support independent review and challenge across technology domains.
- Governance reporting: Prepare draft insight packs that connect metrics to material risks, decisions required and potential actions.
- Remediation monitoring: Track remediation progress, control effectiveness, resilience outcomes and risk-in-change indicators.
- Stakeholder collaboration: Coordinate with Technology, Cyber, Risk, Data and Internal Audit teams on analytics, definitions, thresholds and evidence requirements.
- Escalation and documentation: Document findings clearly and escalate material concerns for review by the appropriate risk leaders.
- Continuous improvement: Help improve reporting consistency, reduce duplication and support the development of group-wide oversight practices.
Required Skills and Qualifications
1. Risk and Control Knowledge
- Experience in technology risk, cybersecurity risk, operational risk, assurance, analytics or a related field is desirable.
- Foundational understanding of technology controls, cyber controls and resilience concepts.
- Familiarity with risk appetite, risk indicators, control effectiveness and remediation monitoring.
- Working knowledge of relevant APRA standards, including CPS 230 and CPS 234, and associated evidence expectations.
2. Data Analytics and Reporting
- Ability to work with datasets and apply defined metrics or key risk indicators.
- Ability to translate analytical results into clear risk observations and useful insights.
- Experience supporting dashboards, reporting packs or repeatable analytics routines.
- Attention to data quality, consistent definitions, documentation and data lineage.
- Ability to prepare concise, accurate and governance-ready reporting materials.
3. Automation and AI
- Exposure to automation and AI-enabled workflows, such as Copilot or LLM-based agents.
- Understanding of responsible AI use, governance controls and human accountability.
- Exposure to data science, analytics engineering or automation techniques in a governed enterprise environment is beneficial.
4. Risk Platforms and Collaboration
- Exposure to governance, risk and compliance (GRC) tools, issue/action management, control testing or service management platforms.
- Understanding of common data and systems integration patterns.
- Good written communication, analytical reasoning and documentation skills.
- Ability to manage assigned tasks, work under guidance and collaborate across teams and geographies.
- Willingness to learn regional governance requirements and consistent group standards.
Important: ANZ states that candidates are not expected to meet every listed skill. Applicants who meet most of the relevant requirements and demonstrate a willingness to learn are encouraged to review the official vacancy.
Salary Insights
The salary for this ANZ position has not been disclosed in the supplied job description. The final compensation may depend on the role’s level, relevant experience, technical expertise and the bank’s compensation structure. Candidates should confirm the salary, benefits and any applicable bonus details through the official recruitment process.
Why Consider This ANZ Opportunity?
- Banking risk exposure: Develop experience in technology and information security risk oversight within a major financial services organization.
- Analytics and AI: Apply data analysis and authorised AI-enabled tools to support risk insights and reporting.
- Governance experience: Learn about risk indicators, controls, data quality, auditability and regulatory evidence expectations.
- Cross-functional work: Collaborate with Technology, Cyber, Risk, Data and Internal Audit stakeholders.
- Permanent role: The position is listed as permanent, with working hours from 7:00 AM to 4:00 PM.
- Professional development: The job description emphasizes learning, guided delivery and developing expertise across risk and governance disciplines.
Recommended Learning Resources
Candidates preparing for risk analytics roles can strengthen their data analysis and programming fundamentals with these resources.
SQL and Data Analysis
SQL Course and Notes – Review data querying, joins, aggregations and working with structured datasets.
Python Fundamentals
Python Course and Notes – Learn programming concepts useful for data processing and analytics automation.
Data Analytics Foundations
Data Science Complete Course – Review data analysis and foundational analytical methods.
Interview Preparation
Prepare examples that demonstrate how you analyse datasets, validate metrics, identify unusual trends and communicate findings. Review technology and cyber risk fundamentals, control effectiveness, resilience, risk appetite and remediation tracking. Be prepared to discuss responsible AI use, data privacy, governance and why human review is important when AI tools support risk reporting.
Data Analyst Interview Preparation
Data Analyst Roadmap for Beginners
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How to Apply for ANZ Associate Technology Risk Intelligence
- Open the official ANZ Careers vacancy using the button below.
- Search for or verify requisition number 124088 and review the complete eligibility requirements.
- Prepare an updated resume highlighting relevant risk, analytics, cybersecurity, assurance, reporting, automation or AI-enabled workflow experience.
- Describe relevant projects or responsibilities involving datasets, dashboards, risk indicators, data validation, governance or documentation, where applicable.
- Complete the online application and submit it before the stated deadline.
Application Deadline: 31 October 2026 at 11:59 PM Indian Standard Time.
Frequently Asked Questions (FAQs)
1. What is the qualification required for the ANZ Associate Technology Risk Intelligence role?
The supplied job description does not specify a particular degree or academic qualification. Check the official ANZ Careers page for the complete eligibility criteria.
2. What skills are important for this position?
Relevant skills include risk analytics, working with datasets and key risk indicators, dashboard and reporting support, technology and cyber risk fundamentals, data quality, documentation, and exposure to automation or AI-enabled tools. Knowledge of APRA CPS 230 and CPS 234 is also mentioned.
3. What is the salary, work location and last date to apply?
The role is based in Bengaluru, is listed as permanent and has working hours of 7:00 AM to 4:00 PM. Salary is not disclosed in the supplied description. The application deadline is 31 October 2026 at 11:59 PM IST.
If your background matches technology risk, analytics or related disciplines, review the official vacancy and submit your application before the deadline. Share this opportunity with candidates interested in banking risk and data analytics careers.
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