ASX: Powering Australia's financial markets

Why join the ASX?

When you join ASX, you’re joining a company with a strong purpose – to power a stronger economic future by enabling a fair and dynamic marketplace for all.

In your new role, you’ll be part of a leading global securities exchange with a strong brand. We are known for being a trusted market operator and an exciting data hub. 

Want to know why we are a great place to work, click on the link to learn more.

www.asx.com.au/about/careers/a-great-place-to-work

We are more than a securities exchange!

The ASX team brings together talented people from a diverse range of disciplines. 

We run critical market infrastructure, with 1 in 3 people employed within technology.  Yet we have a unique complexity of roles across a range of disciplines such as operations, program delivery, financial products, investor engagement, risk and compliance.

We’re proud to foster a workplace where diversity is celebrated and inclusion is part of our everyday culture. Our employee-led networks champion LGBTIQ+ inclusion, promote gender equality, accessibility and wellbeing, inspire giving and volunteering, and celebrate cultural and religious events, creating a sense of belonging for all. As an AWEI Bronze employer and member of the Champions of Change Coalition for gender equality, we’re committed to a fair and inclusive workplace where everyone can thrive.

Key purpose of the role

The role is responsible for assessing requirements and reviewing solution design, deriving technical specifications in order to assist the build of new solutions. The role must ensure adherence to current standards, architecture and procedures, ensuring customer needs are met from an end-to-end perspective. The ideal candidate will bridge the gap between technical teams and business stakeholders, ensuring data-driven decisions are powered by robust, scalable cloud solutions.

Your responsibilities

• Document technical specifications and integration patterns required for the Data Platform (AWS Tech Stack), across both the downstream and upstream environments.
• Analyse, design and implement data solutions on AWS to support business objectives.
• Work closely with data engineers, analysts and business teams to optimise and improve cloud-based data pipelines. Build reports and undertake technical data analysis as required via a working knowledge of SQL.
• Assess Business Requirements and Technical documents to determine build work required.
• Assist with documentation of User Stories.
• Implement system configuration, e.g. Commercial Off The Shelf (COTS) system changes, to achieve Business Requirement and/or Technical outcomes.
• Process flow analysis, data models and configuration documentation.
• Conduct deep analysis on structured and unstructured datasets to extract meaningful insights.
• Assist in data migration projects from on-premise or legacy systems to AWS.
• Develop dashboards, reports and analytics using AWS-native tools.
• Collaborate with development teams to automate processes and enhance data accessibility.
• Be part of a cross-functional team planning, configuring, unit testing and documenting new and existing system features in order to deliver working end-to-end solutions and value to stakeholders.
• Analyse interface requirements and document interface mappings.
• Define non-functional requirements.
• Undertake impact analysis on system implementation and design options, making recommendations and assessing and managing associated risks.
• Uphold solution integrity by ensuring that work is compatible with agreed system architectures, adheres to corporate standards, upholds quality and ensures security.
• Contribute to the development of organisational policies, standards and guidelines for test environment management.
• Collaborate with non-technical stakeholders to understand whether solutions meet their needs.
• Your experience and qualifications

Must have

• Proven track record of technical business analysis, taking responsibility across all stages and iterations of the lifecycle, including a strong understanding of best practices and design patterns.
• Experience working within a low-code/configuration environment, e.g. COTS systems, deploying system changes within a defined Software Delivery Lifecycle (SDLC).
• Strong proficiency in AWS data technologies, including:
• Amazon Redshift – data warehousing
• AWS Glue – ETL processes
• Amazon S3 – object storage
• AWS Athena – serverless querying
• AWS Lake Formation – data lake management
• AWS QuickSight – business intelligence and visualisation
• Experience working with SQL and NoSQL databases.
• Understanding of data governance, security and compliance best practices in cloud environments.
• Exposure to machine learning pipelines using AWS SageMaker is preferred but not required.
• Strong analytical skills and experience interpreting complex datasets.
• Ability to translate business needs into scalable technical solutions.
• Familiarity with integration technologies, including APIs and event-driven architectures.
• Familiarity with Agile software engineering methodologies and software product implementation.
• Experience with relational databases, including SQL Server, and capital markets data products/models.
• Experience working with Java applications, microservices and data streaming capabilities.
• Detail-oriented, with the ability to quickly assimilate and apply new concepts, business models and technologies.
• Experience in unit, integration and non-functional testing.

Nice to have

• Experience working in the Capital Markets industry, with a solid understanding of product and transaction lifecycles.
• Passionate about solving problems, troubleshooting software issues and triaging environment issues.
• Excellent verbal and written communication skills, with the ability to work with internal and external stakeholders.
• AWS Certified Data Analytics – Specialty or Solutions Architect certification.
• Knowledge of big data frameworks, such as Apache Spark and Hadoop, on AWS.
• Prior experience with streaming data solutions such as AWS Kinesis or Kafka on AWS.
• Lateral thinker who brings forward ideas that automate repeatable tasks, reduce work effort and ensure quality deliverables.
• Ability to learn quickly and enjoy the challenge of learning new systems.
• Compassionate, empathetic and self-motivated.
• Continuous improvement mindset.
• Able to take ownership and not be afraid to acknowledge failure.
• Understand the importance of maintainable code and comprehensive testing.

We make hiring decisions based on your skills, capabilities and experience, and how you’ll help us to live our values. We encourage you to apply even if you don’t meet all the criteria of this role.

If you need any adjustments during the application or interview process to help you present your best self, please let us know at careers@asx.com.au.

At ASX Group, our diverse workforce is essential to build and maintain a fair and dynamic marketplace. We support flexible working and offer hybrid working options. Even if our roles are advertised as full-time, we encourage you to apply if you are interested in part-time or other flexible working arrangements.

We will arrange for successful candidates to have background checks, including reference and police checks, completed as part of the on-boarding process.

To be considered for this position, candidates must be legally authorised to work in Australia on a permanent basis without any restrictions.