The posting, in Airwallex's own words
archived Oct 19, 2026About 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 2,300 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 to see it in full.
How you'll make impact
You’ll shape product and business strategy through rigorous quantitative analysis, experimentation, and statistical thinking. You’ll turn complex data into clear recommendations that improve decision quality, reduce decision latency, and guide roadmap and investment decisions. Drive product and business decisions by translating complex data into clear, actionable recommendations. Build scalable analytics systems and decision frameworks that help teams understand what changed, determine what to do next, and learn whether an action worked. Partner with Product, Engineering, Marketing, Sales, Finance, and other cross-functional teams to identify opportunities, define success metrics, and measure the impact of initiatives. Improve decision quality by applying statistical analysis, experimentation, and quantitative methods to large and complex datasets. Influence product strategy, investment decisions, and roadmaps through reliable analysis and clear communication with executives and cross-functional stakeholders. You'll work from our Singapore office five days a week.
Read the full posting ↓
Essentials
At least five years of industry experience in data science, analytics, or a related quantitative discipline. A degree in Computer Science, a quantitative discipline, or a related field. Expert-level experience with SQL and Python, R, or comparable scripting and statistical tools. Strong experience applying statistical analysis, experimentation, and quantitative methods to drive data-informed decisions. Experience working with large and complex datasets to solve ambiguous business or product problems. Experience communicating analytical findings and recommendations to executives and cross-functional stakeholders. A track record of influencing product strategy, investment decisions, or roadmaps through data. Strong understanding of data modelling and schema design.