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. 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 Data Science team at Airwallex builds the data foundations, models, and decision-support systems that help the business scale with speed and precision. We partner closely with leaders across the company to solve high-impact problems through analytics, experimentation, machine learning, and data products.

Within this team, you'll be the dedicated data science partner for our People & Talent (P&T) function — the team that builds the systems, insights, and experiences behind how Airwallex attracts, grows, and retains exceptional people at global scale. You'll work closely with P&T, Finance, and Engineering to improve how HR and recruiting data is modelled, governed, and used, and help shape a more scalable, self-serve, and AI-enabled analytics ecosystem for people's decisions.

What you'll do

As Senior Data Scientist, People and Talent, you will own the People & Talent (P&T) data domain at Airwallex and turn our HR and recruiting data into a scalable analytics foundation for the business. You will define how headcount, hiring, and people metrics are modeled, governed, and accessed, and you will build the pipelines, dashboards, and self‑serve tools that power decisions across P&T, Finance, Revenue Strategy, and Engineering.

This role combines hands-on data engineering and analytics with product thinking and stakeholder management: you will manage the roadmap for P&T data, act as the subject matter expert on people data, and drive continuous improvements in automation, governance, and AI-enabled insights. You will also build context layers that make people data more accessible and meaningful across the business, and enable AI analytics capabilities that help P&T teams move faster and make better decisions.

Responsibilities:

• Own and manage all People & Talent (P&T) data assets, ensuring robust data models, pipelines, documentation, and governance across all HR and recruiting systems.

• Build and maintain scalable dashboards, reports, and self-serve analytics supporting stakeholders in People & Talent, Finance, Revenue Strategy, and Engineering.

• Partner with cross-functional teams to prioritize requests, manage the P&T analytics roadmap, and drive improvements in automation, data quality, and end-user access workflows.

• Act as the subject matter expert on people data, supporting metric definition, troubleshooting, and user guidance, while upholding strict governance and privacy standards.

• Enable AI-powered and self-serve analytics use cases, and continuously identify opportunities to enhance the P&T analytics ecosystem to support global growth.

Who you are

We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory.

Qualifications:

• 5+ ye