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Senior Quantitative Data Engineer - 2-year fixed-term

Australian Securities Exchange Sydney, Australia
Posted 5 hours ago Permanent Competitive

Senior Quantitative Data Engineer - 2-year fixed-term

Australian Securities Exchange Sydney, Australia
Senior Quantitative Data Engineer - 2-year fixed-term
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.

Your Team

Quantitative and Data Science is a core function of the Markets division. Markets division is comprised of product specialists across a number of different asset classes. The build of the Data and Analytics capability across the markets division sits within the Business Development team providing services across the markets division.

Your responsibilities
  • Design, develop, and maintain robust data pipelines to ingest, process, and store large volumes of financial market data.
  • Collaborate with quantitative researchers, academics and analysts to understand data requirements and translate them into efficient data solutions.
  • Implement data validation, cleansing, and enrichment processes to ensure data accuracy and integrity.
  • Optimize data storage and retrieval mechanisms to support trading and real-time analytics.
  • Develop and maintain data models, schemas, and documentation to facilitate data accessibility and usability.
  • Conduct exploratory data analysis to identify patterns, trends, and anomalies in market data.
  • Work with various data sources, including market feeds, trading systems, and third-party APIs.
  • Implement and maintain data quality monitoring and alerting systems.
  • Stay up-to-date with the latest developments in financial market microstructure and data engineering best practices.
  • Collaborate with cross-functional teams to integrate data solutions into trading platforms and analytical tools.

Your experience and qualifications

Must have
  • Extensive knowledge and experience of financial markets, particularly Exchanges, Trading in general and specific knowledge of Equities and Futures.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proven experience as a Data Engineer, Quantitative Developer, or similar role in the financial industry.
  • Strong proficiency in Python for data manipulation, analysis, and automation.
  • Deep understanding of financial market microstructure, including order types, market participants, and trading dynamics.
  • Experience with data processing frameworks and tools such as Pandas, NumPy, and Apache Spark.
  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and distributed computing.
  • Knowledge of data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, PowerBI, Tableau)

Nice to have
  • Experience with time-series data and high-frequency trading environments.
  • Familiarity with machine learning techniques and frameworks (e.g., scikit-learn, TensorFlow) is a plus.
  • Understanding of algorithmic trading strategies and quantitative finance principles.
  • Experience with version control systems (e.g., Git) and agile development methodology

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.
Job ID  JR101612
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