Are you ready to build real, production‐grade analytics and grow your career with experienced practitioners?
In this dynamic and fast‐paced function, you'll join the DDAI CTT team, helping transform Westpac's Commodities and Trade Finance business by embedding cutting‐edge digital, data and AI capabilities end‐to‐end — across analytics, automation, governance and risk — to deliver better customer, business and risk outcomes.
This early‐career role sits at the intersection of quantitative modelling, software engineering, and financial markets. You'll work on live pricing, risk, and portfolio analytics — not toy problems — and learn how ideas move from concept into governed production.
Importantly, you don't need to know everything on day one; curiosity, strong fundamentals, and a willingness to learn matter most.
What will you be doing?
* Implement and support pricing, risk, and portfolio analytics with guidance from senior quants and engineers.
* Translate quantitative ideas into clean, testable, production‐ready code and reusable libraries.
* Build and support automated data pipelines (batch and streaming), CI/CD, monitoring, and documentation.
* Collaborate closely with traders, risk managers, and engineers, learning how analytics behave in real markets.
* Gain exposure over time to ML and AI (including LLM‐based tools), with appropriate testing, validation, and monitoring.
* Tertiary qualifications in a Quantitative discipline.
* 2-5 years' experience in a high‐end, high‐touch analytical capacity gained in fast‐paced corporate settings.
* Strong foundation in Python for analytics and data‐driven applications.
* Solid grounding in mathematics, statistics, probability, or optimisation.
* Ability to write clear, maintainable, and testable code; basic SQL skills.
* Interest in financial markets, analytics and applied quantitative models.
* Willingness to learn quickly, get feedback and continuously improve.
* Solid practical experience gained in software engineering, analytics, quantitative development, or relevant internships.
Nice to Have Skills
* Exposure to C++, Java, or C# in an engineering or academic setting.
* Familiarity with automated data pipelines and modern engineering practices such as testing or CI/CD.
* Introductory exposure to machine learning, advanced analytics, or AI tools.
Benefits of working at Westpac
* Special offers on banking products and discounts from top brands, including generous employee‐only mortgage rates!
* Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
* Tailored learning and development opportunities to help grow your career within the bank.
* Lots of opportunities to 'give back' to the Community by getting involved in our many volunteering initiatives.
We welcome everyone – no matter your age, gender, background, or abilities.
We also provide additional support to welcome our veterans, Indigenous Australians, and neurodiverse community.
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