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Staff Optimization Consultant

Airwallex • UK - London, London, United Kingdom

Job Description

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full. Why Join Airwallex Right Now? Airwallex is experiencing explosive global growth, and we are leading the charge by deeply embedding Artificial Intelligence into our DNA. We believe in empowering our people just as much as our merchants. When you join us, you’ll be equipped with powerful, cutting-edge internal AI tools designed to supercharge your onboarding-learning curve, data analysis, help automate repetitive tasks, and surface deep insights instantly. This means more time doing what you do best: solving complex problems, innovating, and driving massive impact for our largest clients. If you want to work at the intersection of hyper-growth fintech and revolutionary AI technology, you’ve found your home! About the Team The Merchant Services team at Airwallex is on a mission to build the future of global digital commerce. We provide seamless, lightning-fast payment solutions to businesses of all sizes, ensuring they can effortlessly process transactions, manage global revenue, and scale without borders. We are obsessed with innovation, exceptional customer support, and constant improvement. At Airwallex, we don't just process payments, we empower businesses with the cutting-edge financial infrastructure they need to dominate a dynamic global market, with online payments acceptance & its performance being the core of it. What You’ll Do As a Staff Optimization Consultant, you will join an existing team of trusted payment optimization consultants for Airwallex’s global merchants. You’ll sit at the heart of our ecosystem, collaborating with Account Managers, Product Teams, and Data Scientists to uncover hidden opportunities, master fraud mitigation, and skyrocket transaction success rates. Key Responsibilities Uncover Insights: Leverage massive datasets and industry trends to identify high-impact opportunities that boost our customers’ payment performance. Design the Playbook: Create and continuously refine our standard methodologies for payment optimization, keeping Airwallex steps ahead of the industry. Merchants engagement: Confidently lead deep-dive discussions with our enterprise clients regarding their payment performance, acting as their ultimate strategic advisor. Empower Teams: Train our Sales and Account Management teams on payment optimization tactics, equipping them with the knowledge and tools to win. Co-Create Optimization Levers: Partner directly with Product, Engineering, and Data Science teams to build next-generation AI/ML-powered optimization techniques that automate smart routing, reduce costs, and maximize success rates. Shape the Roadmap: Synthesize client feedback and boots-on-the-ground learnings to directly influence Airwallex's core product roadmaps. Connect the Ecosystem: Liaise with external global stakeholders, including major card issuers and networks, to optimize the payment pipeline. Who You Are The Payments Expert: You bring 5+ years of experience in the payments space, with a deep understanding of e-commerce, card-based processing, and optimiza

Job Reference ID: CF-176470 • Posted on CloudFrame Job Scanner