SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Airwallex is a unified payments and financial platform serving over 250,000 businesses globally, including Brex, Rippling, Navan, and Qantas. The company is valued at $11 billion and backed by leading investors including Sequoia, Visa, Mastercard, and T. Rowe Price.
You will lead the development and optimization of transaction monitoring capabilities across Airwallex's payments and financial operations platform. This role sits at the intersection of risk, compliance, data, and product, requiring you to build systems that effectively detect suspicious activity while maintaining excellent customer experience.
Key responsibilities include:
- Own end-to-end product strategy for real-time and post-transaction monitoring, including rule design, alert optimization, workflow automation, and client-specific risk controls
- Optimize monitoring rules and thresholds to improve detection quality and reduce false positives
- Build scalable post-transaction monitoring and manual review workflows with investigator tooling
- Design client-specific risk controls for large merchants, tailoring monitoring rules and safeguards to transaction patterns
- Expand monitoring coverage as the business scales globally, driving decisions across risk and compliance workflows
- Partner with Risk Operations to optimize alert triage, case management, and investigator productivity
- Work with Data and Engineering teams to ensure reliable monitoring data pipelines and scalable detection infrastructure
- Identify opportunities to leverage AI and advanced analytics to improve detection accuracy and reduce manual effort
- Ensure monitoring capabilities align with AML, fraud, and regulatory requirements
You bring 6+ years of product management experience, ideally in payments, fintech, or financial crime prevention. You have hands-on experience building or owning transaction monitoring, fraud detection, or AML systems. You are data-driven, comfortable with SQL and data tools, and experienced defining risk detection logic and monitoring rules. You excel at cross-functional collaboration with Risk, Compliance, Operations, Data, and Engineering teams, and have proven ability to translate regulatory requirements into scalable product solutions in regulated environments.
Preferred experience includes AML monitoring platforms, case management and investigation tooling, and exposure to machine learning or AI-driven risk systems.
