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Head of Risk Operations

Airwallex· Operations
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UK - LondonFull-timePosted 2mo ago

About the role

Senior leadership role overseeing global Risk Operations focused on onboarding, periodic reviews, and in-life risk behavior across Payments, Issuing, and Credit domains. Responsible for strategy, scaling, data-driven performance, AI transformation, and operational excellence within Airwallex's risk framework.

Responsibilities

  • Own the vision, strategy and execution for Risk Operations
  • Build, lead and develop a globally distributed team
  • Own the location and resourcing strategy of the team, solving for 24/7 coverage, quality of customer experience and cost efficiency
  • Create a repeatable & scalable operating rhythm, including clear OKRs
  • Take a data-driven approach to performance management
  • Strike the right balance between risk, customer experience and commercial impact, ensuring timely, high-quality decision making and communications
  • Drive continuous improvement in the quality of procedures, playbooks and control frameworks, aligned to Airwallex financial crime and fraud policies defined by 2LOD and partnering closely with Risk Product and Engineering
  • Ensure that Airwallex continues to improve the quality and consistency of documentation
  • Lead AI transformation of the Risk Operations team
  • This role will be based in either London or Singapore.

Qualifications

  • Proven experience, including senior leadership in large-scale, multi-jurisdiction operations in a rapidly growing regulated financial-services or payments/fintech business
  • Proven track record of scaling Risk Operations (at least 2 of Payments, Issuing and Credit) across multiple geographies, and of building globally consistent performance
  • Background in Fraud Ops and ATO risk control
  • Strong commercial and analytical judgement — comfortable framing decisions in unit economics, scalability and return on investment
  • Track record of operating at the Operations–Product–Risk intersection and driving cross-functional outcomes without full reporting-line authority
  • Demonstrated delivery of automation/AI-led transformation in an operations setting
  • Evidence of big data/analytics (including SQL, DBX and BI tooling)

Skills

Required:Leadership and team managementRisk operations strategyData-driven decision makingAutomation/AI transformationFraud risk and ATO control
Last updated Oct 7, 2026. Interested? Apply on the company site.
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