About Airwallex

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 1,700 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.

About the team

The Global Revenue & Organization 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.

What you’ll do

Responsibilities:

• Lead end-to-end analyses to support CTO-level decisions, such as major infra investments and long-term bets in AI

• Act as a thought partner in ambiguous 0→1 initiatives providing the analytical backbone for scoping solutions, executing strategies, and measuring success

• Leverage advanced statistical methods and AI to forecast and optimize system performance, cost, and scalability

• Design and implement frameworks to measure the real-world impact of AI agents and LLM tooling across engineering workflows

• Build instrumentation and metrics to quantify and enhance the developer experience

• Develop data models and dashboards to track and improve Engineering KPIs

• Serve as a key liaison between Engineering, Finance, and Product leadership

Who you are

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

Minimum qualifications:

• 5+ years industry experience and an advanced degree (PhD or MS) 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

• Extensive experience with GCP and modern data architecture tools such as Airflow, dbt, and Databricks

• Experience building machine learning models and deploying AI agents

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

Preferred qualifications:

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

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

#shanghai

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters.  Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s).  Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.