About the team

Airwallex Risk Platform Team is responsible for protecting all Airwallex products across the lifecycle, including GTPN, PA, Issuing, Onboarding, and Account Takeover. The risk landscape evolves rapidly and fraud techniques are becoming increasingly sophisticated. We build scalable, reliable, and intelligent risk capabilities to stay ahead-helping Airwallex remain a trusted global partner for businesses.

Our team is distributed across Shanghai and Singapore, working closely with global product, engineering, data, and operations teams, as well as external partners and customers, to deliver a holistic risk management approach.

This role is based in Singapore.

What you'll do

Our mission is to keep Airwallex's products and services safe and secure. We continuously improve risk strategies and systems using modern technologies, including graph, machine learning, and LLMs/Gen AI, to detect and prevent fraud and abuse at scale.

Responsibilities:

• Design, develop, and operate core transaction risk services and infrastructure using Kotlin/Java, supporting payment products and transaction systems.

• Own end-to-end delivery of key components and services on Airwallex's microservice framework: design, implementation, testing, deployment, and observability.

• Build high-concurrency, highly available distributed services, optimizing latency, throughput, and reliability for production workloads.

• Collaborate with senior engineers and cross-functional partners to define technical solutions, APIs, and service boundaries drive architectural improvements.

• Explore and evaluate new technologies (e.g., graph/streaming/ML/LLM related) and propose pragmatic upgrades aligned with business risk needs.

• Mentor engineers through code reviews, design discussions, and engineering best practices, improving team quality and delivery efficiency.

• Participate in on-call/incident response when needed, driving root-cause analysis and long-term remediation.

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

• 5+ years experience in Java/Kotlin backend development, with proven delivery in internet-scale applications, large financial systems, or e-commerce platforms.

• 3+ years experience building systems for risk platforms and/or payment platforms.

• Bachelor's degree in Computer Science or related fields (or equivalent practical experience).

• Strong knowledge of Java ecosystem, including concurrency/multithreading, high-throughput IO (NIO), and network communication fundamentals.

• Solid foundation in distributed systems design: high concurrency, high load, high availability, resilience, and scalability.

• Strong engineering practices: performance tuning, service stability, data/query optimization, and production troubleshooting.

• Experience with Spring / Spring Boot and designing RESTful APIs.

• Familiarity with build tools such as Gradle/Maven.

• Familiarity with common data formats such as JSON (XML is a plus, not a must).

Preferred Qualifications (Nice to Have)

• Strong domain knowledge in risk management, fraud detection, and fintech payment risk strategies.

• Experience with graph databases and graph-based pattern/anomaly detection.

• Experience applying machine learning for predictive risk analytics (model integration, feature engineering collaboration, etc.).

• Experience with real-time streaming and event-driven architectures (e.g., Kafka, Flink) for low-latency detection and response.

• Experience with large-scale analytics and storage technologies (e.g., ClickHouse, Spark, NoSQL) for risk analysis and investigations.

• Incident response experience, including mitigation planning and post-incident improvement.

• Strong communication and collaboration skills in a cross-regional, cross-functional environment.

• Familiarity with LLM evaluation and safety practices (offline/online evals, red teaming, prompt injection defenses, PII handling, and guardrails) for enterprise use cases.