Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)