Senior Data Scientist, ANZ at Airwallex

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Forecasting, Data Querying, SQL, Python, R, Data Architecture, Airflow, Databricks, dbt, Communication, Statistical Methods, AI, Critical Thinking, Collaboration, Problem Solving

Industry

Financial Services

Description

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 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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. 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 The Strategic 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 resides in the US, China, and Singapore. Learn more about the data science team in this blog. This role is based in Melbourne. Responsibilities: Be the go-to data partner for the Head of ANZ Partner with Sales, Marketing, Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business Leverage AI to generate insights and improve business and team efficiency Support Airwallex’s forecasting efforts by applying advanced statistical methods Scope and build data products. In some cases MVPs, and in others, fully fleshed out solutions Foster 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: 5+ years industry experience and a degree 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 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) #melbourne 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 through careers.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.

Responsibilities

The Senior Data Scientist will serve as the primary data partner for the Head of ANZ, collaborating with various departments to align metrics and improve efficiency. They will also support forecasting efforts and build data products.