openashbyhqairtree
Staff Data Scientist, Product Analytics
Airwallex
LocationSG - Singapore
WorkplaceOnSite
EmploymentFullTime
Posted2026-01-16T02:47:47.798+00:00
Last observed2026-06-13 05:23:57.494239
Job idairtree-airwallex:ashbyhq:66d926f9-e5e4-4271-963e-d1e05d75aa4d
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 200,000 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 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, 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. ATTRIBUTES WE VALUE 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 https://www.airwallex.com/us/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. About the team As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog. https://careers.airwallex.com/blog/data-science-leader/ What you'll do You will partner closely with Product, Engineering, and cross-functional stakeholders to solve complex product problems and shape strategy through data. In this role, you will use quantitative analysis, experimentation, and statistical thinking to identify opportunities, measure product performance, and turn insights into clear recommendations that drive roadmap and investment. This role is based in Singapore. RESPONSIBILITIES: - Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations - Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches - Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends - Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions 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: - Minimum 6 years of industry experience and a degree in a quantitative field - Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy - Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Experience in schema design and dimension
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