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Software Engineer, Risk

2-5 Years
SGD 8,999 - 13,999 per month
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  • Posted 9 days ago
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Job Description

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.

More Info

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Job ID: 147918033

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