About the job
About Airwallex
Airwallex stands as the premier unified payments and financial platform catering to global enterprises. Our unique blend of proprietary infrastructure and cutting-edge software empowers over 200,000 businesses worldwide—including notable names like Brex, Rippling, Navan, Qantas, and SHEIN—with comprehensive solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a global scale.
Founded in Melbourne, we boast a vibrant team of over 2,000 innovative tech professionals across 26 global offices. Valued at US$8 billion, our growth is supported by top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. Join us to embark on the most ambitious journey of your career.
Attributes We Value
We seek dynamic builders with an entrepreneurial spirit who crave real impact, accelerated learning, and authentic ownership. You should possess robust expertise in your role, sharp analytical skills, and a passion for our mission and operating principles. You thrive in fast-paced environments, utilizing sound judgment, curiosity, and a first-principles approach to decision-making.
Collaboration and humility define you as you transform innovative ideas into tangible products, ensuring that you “get stuff done” from start to finish. By leveraging AI, you work smarter and solve challenges swiftly. Here, you will engage with complex, high-stakes problems alongside exceptional teammates and advance your career as we shape the future of global banking. If this resonates with you, let's create what comes next.
About the Team
The Client Risk Team at Airwallex is dedicated to proactively identifying and managing client-level financial crime and credit risk across all products. Our objective is to provide a cohesive, data-driven perspective of each client by integrating internal and external insights. We are committed to utilizing advanced machine learning and large language models (LLMs) to enhance decision intelligence, automate operational processes, and facilitate responsible global business growth.
What You’ll Do
As a Software Engineer in Client Risk, you will architect and develop scalable risk monitoring systems leveraging AI, ML, and LLM technologies. Your role will involve automating review processes, consolidating risk insights, and creating unified client management tools. Additionally, you will define and implement evaluation frameworks to enhance our systems.

