Senior Data Scientist, Algorithm (Financial Markets)

Effectively manage Airwallex's risk portfolio, delivering actionable insights to shape our overall risk strategy within financial markets Apply statistical and/or machine learning models to estimate financial markets risk exposures (including FX, credit, capital, and other product risks), and optimize market forecasting, order routing, fund efficiency, and pricing decisions Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to deliver data-driven recommendations that support commercial and operational objectives Clearly present analytical results and insights to cross-functional teams to influence business strategies and decision-making

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.