Senior Quants/Analytics Specialist - CTT

Create your best future as a Senior Quantitative Engineer!

What’s the role?

Data, Digital & AI (DDAI) is the engine driving digital transformation and innovation within Westpac Institutional Bank. Be part of the DDAI CTT team that transforms Westpac’s Commodities and Trade Finance business by embedding digital, data and AI capabilities end‑to‑end – covering analytics, automation, governance and risk – so the business is modern, scalable and future‑read.

You will be building production grade quantitative and analytics systems that support trading, pricing and risk decision-making across Commodities, Trade and Transition. This role sits at the intersection of quantitative modelling, software engineering and markets, with a focus on turning high value quantitative ideas into reliable, scalable production capabilities. There is scope to help shape the use of ML and AI over time – applied pragmatically, with strong engineering discipline and appropriate controls.

Key Responsibilities include:

Quantitative & Analytics Engineering: Design and implement pricing, risk, and portfolio analytics used in real decision making.

Production Ownership & Engineering Discipline: Contribute to disciplined testing, release management, monitoring, and documentation.

ML, AI & Advanced Analytics: Contribute to the practical application of ML and GenAI (including LLM based systems) for analytics augmentation, decision support, and workflow automation.

Markets & Collaboration: Apply analytics to pricing strategy, risk management, and execution analysis.

What do I need?

This role requires a strong quantitative engineering background, combining robust software development skills with deep analytical capability. The successful candidate will be comfortable working in data‑intensive, production environments and able to operate at senior level, with flexibility for exceptional strength in either quantitative modelling or production engineering.

Skills and experience required include:

Strong engineering capability in Python, with proficiency in at least one of C++, Java or C#

Advanced SQL skills and confidence working with large‑scale, data‑intensive workloads

Solid grounding in applied mathematics, statistics, probability or optimisation

Proven experience building scalable, production‑grade analytics systems

Background in quantitative development, analytics engineering, or front‑office analytics within financial services

It is desirable for you to have experience with cloud platforms, preferably Azure and modern CI/CD practices

You will ideally have exposure to machine learning tooling (such as PyTorch or TensorFlow) and LLM frameworks

Why join us?

We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that:

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 your grow your career within the bank.

Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives.

Create your future today

We’re all about creating a supportive and inclusive community. 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.

If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page , under the ‘Diversity, sustainability and flexibility’ section.