Senior Data Scientist, Analytics

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 2,300 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 ouroperating 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.

What we're looking for

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.

Preferred

• Experience in technology, financial services, fintech, or another high-growth environment.

• Experience building scalable analytics systems, experimentation frameworks, or decision-support infrastructure.

• Experience applying machine learning or AI to product, business, or customer problems.

You'll thrive here if

• You're comfortable owning the roadmap yourself.

• You're comfortable making decisions with incomplete information and moving quickly anyway.

• You’re comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.

• You can advocate hard for a position, then fully support the team's direction once a call is made.

• You simplify complexity rather than hiding behind it.

Learn more about your team

Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimises product and business outcomes in real time.

The work spans analytics harnesses, experimentation, machine learning, AI, and production systems that improve decision quality and drive measurable business outcomes.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only throughcareers.airwallex.com or our official LinkedIn page.

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.

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.