Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently resides in the US, China, and Singapore. Learn more about the data science team in this blog.

This role is based in Sydney.

• Be the go-to data partner for the Head of ANZ

• Partner with Sales, Marketing, Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business

• Leverage AI to generate insights and improve business and team efficiency

• Support Airwallex’s forecasting efforts by applying advanced statistical methods

• Scope and build data products. In some cases MVPs, and in others, fully fleshed out solutions

• Foster an environment grounded in technical excellence, clear communication, and proactive critical thinking

We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• 5+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)

• Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy

• Expertise in forecasting

• Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)

• Experience with data architecture technologies such as Airflow, Databricks, and dbt

• Experience in technology, financial services and/or a high growth environment

• Experience with Excel and Finance systems (e.g. Oracle)

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