Software Engineer II, Client Risk

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 100,000 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 1,500 of the brightest and most innovative people in tech located across more than 20 offices across 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. About the team The Risk Platform Team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, PA, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management. What you’ll do Our mission is to keep Airwallex’s products and services safe and secure, and make Airwallex a trusted partner for businesses around the world. We use cutting-edge technologies, such as graph, ML, and LLM, to implement and improve our strategy. Our team expands across Beijing, Shanghai and Singapore. We collaborate with other teams and our customers globally to ensure a holistic approach for risk management. This role is based in Singapore. Responsibilities Build and maintain risk monitoring system to detect client risk automatically and intelligently. Build and maintain name screening service for sanction and anti money laundering. Build client management system for internal operation teams. Build high available low latency distributed systems with public cloud infrastructure. Build reliable data pipelines and data quality monitoring programs. Collaborate with cross-functional teams for operational excellence and delightful user experience. 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. Minimum qualifications B.S. in Computer Science or a related technical discipline, or equivalent experience; 2 years and above experience with backend technologies is essential. While we do not mind what language you have most recently been using, we are using Java, Python or Kotlin, Spring / Spring Boot; Familiar with commonly used design patterns, with experience in design and development of large-scale distributed, high concurrency, high load, high availability systems; Master various common server technologies, which can optimize service response and data query, ensure various service quality, and solve the problems of high concurrency and high availability; A clear focus on measurable customer outcomes； Strong communication and collaboration skills, work well in a cross-functional environment； Preferred qualifications In-depth knowledge of risk management strategies and fraud detection techniques, particularly within financial and fintech industries. Experience with machine learning models and frameworks for predictive risk analytics. Familiarity with real-time data streaming technologies like Apache Kafka/Flink to ensure timely detection and response to potential threats. Knowledge of NoSQL databases, cloud technologies (Google Cloud / AWS), and container orchestration tools. Experience with big data technologies, such as Spark, BigQuery, Airflow, ElasticSearch. #J-18808-Ljbffr