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About the Role
As a Data Scientist within Participants Supervision, you will apply hands-on data science approaches to model data on participant activity across ASX’s markets and clearing and settlement facilities to help protect the integrity and reputation of those markets and facilities. You will contribute to the continuous improvement of the function through the delivery of data-driven automations and solutions to uplift the operational processes and monitoring activities of the function to support key licence obligations.
Responsibilities
- Work alongside members of ASX Supervision to understand pain points, process improvement opportunities using data analytics and deliver data analytics solutions to a wide variety of business problems.
- Develop a deep understanding of the financial markets including clearing and settlement facilities, participant systems, operations and connectivity models, and the Operating Rules and an understanding of their application.
- Perform data analysis to identify trends and patterns, and present findings to non-technical stakeholders to support management decision-making and assist the function with monitoring and enforcing the Operating Rules.
- Design, develop and maintain various data products including dashboards, automated reports and monitoring tools to support the work of the wider ASX Supervision function.
- Collaborate cross-functionally across ASX with stakeholders and project teams to discover and source data, understand business processes, gather requirements and deliver analytics solutions that meet the requirements of ASX Supervision.
- Prepare timely and high-quality reports for executive, board, management and regulatory submissions.
- Maintain good record-keeping, documentation and knowledge of data products, reporting processes and data sources.
- Undertake data management initiatives such as data quality monitoring, reconciliations, data validations and remediation to ensure the integrity of our regulatory and management reporting.
Requirements
- Tertiary qualification in a technical discipline such as computer science, data science, statistics, applied mathematics.
- A minimum of 2 years' experience working as a data analyst or data scientist.
- Strong Python, SQL and Excel skills to manipulate and transform data to derive meaningful insights.
- Worked with cloud platforms such as AWS, Azure or GCP.
- Experience working with data visualisation tools such as Microsoft PowerBI, Tableau, Tibco Spotfire.
- Experience in statistical and predictive modelling, machine learning, and/or natural language processing.
- Demonstrated ability to present data in a clear, logical, concise, contextual and visually appealing manner.
- Intuition, curiosity and outcome focused with an ability to break down a complex problem and work out how to solve it.
- A learning and continuous improvement mindset, happy to share knowledge and learn from others.
- Detail focused and proud of your sense of accuracy.
- A talent for interpreting, identifying trends and patterns, and telling stories with data.
- Communicating and collaborating effectively with both technical and non-technical stakeholders.
- Highly motivated, able to work autonomously and manage competing priorities.
- Ability to work flexibly and adapt to a complex and constantly changing environment where requirements and outcomes are often unknown at the outset.
- Background in regulation, supervision, compliance and/or risk management within financial services, ideally capital markets (Nice to have).
- Experience working with cloud orchestration and deployment tools, such as Kubernetes, Docker, Argo Workflows, containers (Nice to have).
- Understanding of software development / engineering best practices (DevOps, Git, MLOps, etc.) (Nice to have).
- Exposure to digitisation initiatives (Nice to have).
- Candidates must be legally authorised to work in Australia on a permanent basis without any restrictions.
Skills
- Python
- SQL
- Excel
- AWS
- Azure
- GCP
- Microsoft PowerBI
- Tableau
- Tibco Spotfire
- Statistical modelling
- Predictive modelling
- Machine learning
- Natural language processing
- Data visualisation
- Kubernetes
- Docker
- Argo Workflows
- DevOps
- Git
- MLOps
Location
- Australia
Work Type
- Hybrid
- Full-time
- Part-time
- Flexible working arrangements
Experience Level
- Minimum 2 years' experience
Education Level
- Tertiary qualification in a technical discipline
Benefits
- Flexible working
About the Company
- ASX is powering Australia's financial markets and is a leading global securities exchange.
- We are a trusted market operator and an exciting data hub.
- 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.
- 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 are 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.
- We are an AWEI Bronze employer and member of the Champions of Change Coalition for gender equality.
- We are committed to a fair and inclusive workplace where everyone can thrive.
- ASX Supervision is the division responsible for the supervision of market participants and issuers listed on the exchange and is at the front line of ASX’s core license obligations to monitor and enforce the market’s operating rules that helps maintain a fair, orderly, transparent and efficient market—protecting not only the interests of investors but also the reputation of Australia’s financial system as a whole.
- The Transformation and Operational Performance (TOP) team is a multi-disciplinary team of risk, process, systems, and data professionals that collectively enables the ASX Supervision division to achieve its strategic outcomes.
- The TOP team is responsible for designing, implementing and embedding continuous improvements to its operational and risk management practices.
Equal Opportunity
- 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.