Senior Data Scientist, Algorithm (Lending & Onboarding)

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 250,000 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 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 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.

The risk platform team at Airwallex is responsible for managing risk across all Airwallex products, including topics like GTPN, Payments, Issuing, Onboarding, Account Takeover, Lending, and Credit. The risk landscape is constantly changing, and threats are becoming increasingly sophisticated. We are at the forefront of innovation in risk management. What you’ll do As a Senior Data Scientist, you will tackle challenging risk problems across credit and fraud (e.g., account takeover), and help build data-driven decision systems that deliver meaningful business impact. You will be responsible for translating business problems into analytical frameworks, strategies, models, and scalable data solutions.

Build real-time ML models to protect Airwallex customers and platform assets, such as Account Takeover prevention and fraud decisioning Develop credit risk models and analytical frameworks to assess merchant risk and support the growth of Airwallex’s lending business Translate business requirements into analytical, modeling, and strategy problems across fraud, credit, onboarding, and related risk domains Design performance monitoring, metrics frameworks, and decision-support tools to improve risk visibility and decision quality Partner with Product, Engineering, Operations, and other cross-functional teams to turn data, models, and insights into production strategies and measurable business impact 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.

3+ years of experience in analytics, data science, risk strategy, or a related quantitative role Bachelor’s degree or above in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline Proficient in Python and SQL Strong problem-solving skills and experience working with large datasets Experience partnering with cross-functional stakeholders to solve business problems Preferred qualifications: Experience in credit, fraud, or related risk domains Hands-on experience in model development, validation, or monitoring Experience designing risk rules, decision