Data Modeler - Credit Decisioning and Collections Technology

Data Modeler

About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.

About the Role

Data Modeler – Credit Decisioning and Collections Technology Area

Role Location – Bengaluru

Role Type – Permanent, Full Time

Job Grade - Group 4.3

 

As a Data Modeler, you’ll play a key role in helping to deliver solutions supporting Credit Decisioning and Collections technology area within the Risk, Legal & Audit Technology domain. Your primary role will be to perform data modelling, establishing and maintaining data governance practices across multiple applications within the platform.

 

Core Skills and Expertise required: 

• Data Engineering Languages - Solving complex problems using programming techniques, drives consistency across teams, and Leading code quality improvements with large-scale changes.
• Data Flow Engineering - Developing data pipelines and schemas, turning Designing into implementations, and identifies potential issues or complexities.
• Data Quality Assurance - Implementing data Designing into pipelines, identifies edge cases, and contributes to key design decisions.
• Data Modelling - Designing and implementing complex models like star and snowflake schemas and optimizes data storage.
• Documentation - Anticipates documentation needs for both technical and non-technical audiences, coaching others, and contributes to organizational documentation standards.
• Soft Skills – Communication, Problem Solving, Planning and Prioritisation, Critical Thinking.
• Incident, Risk and Issue Management - Independently assesses operational risks, applies security policies to mitigate issues, and effectively manages incidents while coordinating teams and communicating progress to stakeholders.
• Change Management - Developing and implementing change plans, analyzing culture and readiness, with minimal guidance.
• Agile practices, Data Privacy & Ethics - Effectively participates in Agile teams, adapting to iterative processes and new ways of working. Applying data privacy laws and ethical guidelines to ensure compliance in various data-related activities.
• Domain - product, process, Testing, Tools & system - Applying domain knowledge to solve problems and improve systems or processes, contributing independently.

What will your day look like?

• Working closely with the architecture and data governance team along with squad members to deliver the squad priorities sprint after sprint
• Analysing data flow of several dependent applications, understand the nature of data flow and the relationship between data elements.
• Creating logical data models, establish relationships between entities
• Ensuring every release adheres to data governance principles established in the domain
• Use of data management tools like Metadata Hub to understand and review end to end flow of metadata

What will you bring?

• Minimum 8 years of experience in the software industry, including 4+ years of relevant experience in data modelling roles.
• Strong analytical capability to understand and assess complex application landscapes, data flows, and interdependencies across systems.
• Proven problem-solving skills, with the ability to design effective solutions for medium to high-complexity data and technology challenges.
• Hands-on experience with data modelling tools such as Erwin (or equivalent) to define entities, relationships, and standards.
• Strong experience in both logical and physical data modelling, including designing scalable and maintainable data structures.
• Demonstrated expertise in eliciting, analysing, and documenting data requirements, data migration rules, and developing complex data mappings across systems.
• Solid proficiency in SQL and scripting across multiple data platforms (e.g., Oracle, MS SQL Server, or similar).
• Practical experience in metadata management, including data lineage, business glossaries, and impact analysis.
• Experience working within Agile delivery frameworks, with a good understanding of SDLC methodologies and best practices.
• Strong collaboration and communication skills, with the ability to work effectively with high-performing, cross-functional teams to achieve shared objectives.

So why join us?

 

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. 

 

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

 

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

 

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 112189.

Job Posting End Date

19/03/2026 , 11.59pm, (Melbourne Australia)

Experience Level

Senior Level