Remediation Specialist
Posted 12 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Contract
No salary listed for this role.
About Us
At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role
We're looking for a Remediation Specialist – a Data Analyst specialised in remediation – to support the delivery of customer, risk, regulatory, and operational remediation initiatives through hands-on data analysis across large-scale remediation datasets.
Working closely with Business, Risk, Compliance, and Technology teams, you'll use data engineering and analytics tooling to help drive remediation outcomes that are sustainable, well-governed, and focused on improving customer and business outcomes.
Role Type: Secondment 12 months (role dependent)
Role Location: 833 Collins Street, Docklands, Victoria 3008
Work Hours: 40 hrs/week (Full-Time)
What will your day look like?
- Write and optimise SQL, Hive, and Teradata queries to extract, profile, and analyse large-scale remediation datasets.
- Build and maintain PySpark and Python data pipelines, orchestrated via Oozie, to support remediation calculations and reporting.
- Support end-to-end remediation activities and action plans. Analyse issues, audit findings, and regulatory outcomes to identify remediation requirements.
- Partner with stakeholders across Risk, Compliance, Business, and Technology functions. Conduct impact assessments and root cause analysis using data-driven techniques.
- Monitor remediation progress, risks, dependencies, and milestones through reporting and dashboards.
- Support governance, reporting, and audit requirements.
- Contribute to continuous improvement initiatives and customer-focused outcomes.
What will you bring?
- Experience as a Data Analyst, with specialisation in remediation data analysis.
- Key skills (required): SQL, Hive, Teradata, PySpark, Python, and Oozie.
- Preferred skills: AWS SageMaker and EMR.
- Experience in Remediation, Operational Risk, Compliance, Audit, Controls, or Project Delivery is highly regarded.
- Strong analytical and problem-solving skills.
- Experience managing stakeholders and working across complex environments.
- Excellent communication and documentation skills.
- Strong attention to detail and governance focus.
- Experience with tools such as Jira, Confluence, ServiceNow, Archer, or similar platforms