Staff Data Scientist, Global Revenue

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 more than 37 locations around the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, 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 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 based in the US, China, and Singapore.

What you’ll do

Responsibilities:

• Be the go-to data partner for the CEO and Regional Business Leads.

• Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business.

• Use causal inference methods to understand how macroeconomic events impact the business.

• Leverage AI to generate insights and improve business and team efficiency.

• Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.

• Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.

• Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.

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:

• 7+ 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.

• Expertise in causal inference methods and forecasting.

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

• Experience with data architecture technologies such as Airflow, Databricks, and dbt.

Preferred qualifications:

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

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

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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.