About the role
ABOUT AIRWALLEX
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.
What You’ll Do
- Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates
- Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
- Translate open-ended business problems into clearly defined data science initiatives
- Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams that directly informs product strategy
- Communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
- Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives
Qualification
- 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). An advanced degree (MS or PhD) is a bonus
- Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact
- Excellent communication and interpersonal skills; proven ability to influence product strategy in high-growth environments
- Strong skills in SQL and Python/R; experience with data modeling a plus
- Experience in technology, financial services and/or a high growth environment is advantageous