Airwallex
Senior Manager, Merchant Risk Operations, APAC [Relocation to Singapore]
$155K–$240K
SG - Singapore +9 · On-site · Manager · Full-time · Posted Sep 22, 2026
- Location
- SG - Singapore
AE - Dubai
CN - Shanghai
NL - Amsterdam
IE - Dublin
US - Remote
TW - Taipei
CN - Shenzhen
UK - London
HK - Hong Kong SAR - Experience
- 8+ years in payments / fintech / acquiring, with at least 3+ years of people management experience.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads APAC merchant risk operations for payments, overseeing performance, risk controls, workflows, and the use of automation and AI to improve decision-making.
What you'll do
- Lead the APAC Merchant Risk Operations team and own operational performance, including SLAs, quality, loss metrics, and customer impact.
- Oversee merchant monitoring, investigation, and escalation workflows, and implement policy and control changes with global partners.
- Partner with Product and Engineering to improve risk tooling and champion automation and AI while maintaining strong control standards.
What they ask for
- 8+ years of experience in payments, fintech, or acquiring, including at least 3+ years of people management experience.
- Deep expertise in one or more areas of Merchant Risk: credit and fraud risk (reserves and exposure management), or brand risk (AUP and compliance management).
- Proven track record managing senior ICs in multi-location teams.
- Bachelor’s degree or equivalent practical experience.
Nice to have
- Experience building or scaling risk operations in a global fintech or top-tier payments company.
- Hands-on experience partnering with Product/Engineering on risk tooling or automation, including AI/ML/LLMs in operations.
Pay
SGD 155K – SGD 240K (compensation; whether base salary or total pay is not stated)
Tools
rules engines, case management, AI/LLM-based workflows, analytics surfaces, dashboards, data tools, AI/ML/LLMs
AI focus
Champion automation and AI to reduce manual work, speed up decisions, and improve reviewer effectiveness; partner on AI/LLM-based risk workflows and tooling.
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