Staff Data Scientist, Algorithm (Risk Product – AML & Financial Crime)

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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 2,700 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 our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.

WHAT YOU’LL DO

As a Staff Data Scientist in the Risk Product Data Science team, you will be a technical leader responsible for advancing how Airwallex proactively identifies and mitigates financial crime risk.

You will work across customer, transaction, behavioral, network and external intelligence data to detect known and emerging risks, uncover suspicious communities and coordinated activity, and improve how we screen customers and counterparties for financial crime exposure.

A key part of the role is developing AI-powered risk detection capabilities, including name screening, entity resolution, network intelligence, and proactive discovery of previously unknown risk patterns.

You will partner closely with Risk Product, Engineering, Financial Crime Compliance and Risk Operations to translate complex risk problems into scalable, production-grade controls.