--- title: 'Staff Data Scientist, Algorithm, Growth at Airwallex' canonical: 'https://feeny.ai/job/staff-data-scientist-algorithm-growth-airwallex-united-states-san-francisco-ca-xp95qkcr19ta' type: 'job' last_seen: '2026-10-14' --- # Staff Data Scientist, Algorithm, Growth at Airwallex - **Company:** [Airwallex](https://feeny.ai/companies/airwallex) - **Location:** United States / San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.ashbyhq.com/airwallex/1c1e3ac3-56c9-41bf-837d-2700120f4e1a ## Job description ## About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 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](https://www.airwallex.com/en-us/operating-principles) to see it in full. ## How you'll make impact You’ll shape the next phase of Airwallex’s growth by building data science systems that improve how we acquire, activate, engage, retain, and expand customers globally. - Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models that drive measurable business outcomes. - Partner with Growth, Marketing, Product, Sales, Engineering, and other cross-functional teams to turn data and AI into clear recommendations, stronger investment decisions, and effective go-to-market strategies. - Measure the causal impact of marketing and growth initiatives, identify what’s working, and translate those findings into action. - Raise the technical bar for the data science team through hands-on leadership, mentorship, and a clear vision for longer-term direction. You’ll be based in San Francisco and work from the office three days a week. ## What we're looking for Essentials - 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, the Sciences, Computer Science, or Economics. - Expert knowledge of machine learning and statistical modelling for data-driven growth strategy. - Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time or batch pipelines. - Strong experience with data querying languages such as SQL and scripting languages such as Python. - Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives. - Strong experience in AI harness and building AI agents. ## Preferred - Experience with schema design and dimensional data modelling. - Experience communicating analysis and recommendations to leadership and cross-functional teams to influence strategy. - Experience in technology, financial services, or a high-growth environment. - Experience providing technical mentorship on machine learning and experimentation in an industry setting. You'll thrive here if - You're comfortable owning the roadmap yourself. - You own the outcome and you don't wait for permission to fix what's broken. - You're comfortable making decisions with incomplete information and moving quickly anyway. - You're not precious about your ideas. You push hard for what you believe in, but you pivot fast when the data says otherwise. - You connect dots across functions and hold the big picture without losing grip on the details. Learn more about your team Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimizes product and business outcomes in real time. You’ll build systems of decision that help teams understand what changed, determine what to do next, and learn whether the action worked. This means owning the AI analytics harness around the analysis—including semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance—so decisions remain reliable, contextualized, and trustworthy at scale. You’ll also build systems of action that use machine learning and AI to shape product behavior, ranking, pricing, risk, allocation, and customer experiences. The work extends beyond training models to designing how intelligent systems reason, use tools, operate within guardrails, execute workflows, and measure their incremental impact. As AI makes ad hoc analysis increasingly accessible, the remaining advantage is scale, scientific method, and rigor. You’ll structure ambiguous problems, design experiments, identify confounding factors, challenge misleading conclusions, and build production systems that produce reliable outcomes repeatedly—not just one-off answers. The work is moving up the stack: from analysis to system, from model to harness, and from answering a question once to building something that answers it correctly over time. If you want to create data science systems that compound decision quality and turn intelligence into measurable action, this is where that work happens. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @[airwallex.com](http://airwallex.com) email address. Please apply only through [careers.airwallex.com](http://careers.airwallex.com) or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. ## Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. ## About Airwallex ## Company Overview - **One-liner**: Airwallex is a financial technology company building a unified global payments and banking platform that helps businesses manage cross-border payments, treasury, spend, and financial operations through proprietary infrastructure, software, and AI. - **Entity Type**: Private (Series G) - **Headquarters**: Dual headquarters in Singapore and San Francisco, USA; founded in Melbourne, Australia - **Founded**: 2015 - **Founders**: Jack Zhang (CEO), Lucy Liu, Max Li, Xijing Dai, and Ron Li ## Core Business - Primary industry: Financial Services / Payments / Fintech Infrastructure - Target customers: B2B, primarily serving SMBs, scaling enterprises, digital platforms, and marketplaces globally - Mission or purpose statement: "Build the future of global banking" — they aim to replace legacy, fragmented banking systems with a borderless, intelligent, real-time financial operating system for modern businesses. ## Products & Services - **[Business Accounts]**: Multi-currency global accounts to receive, hold, and manage funds in 20+ currencies, with local account details for key markets. - **[Payments]**: Global payment acceptance via 160+ local payment methods, low-code checkout, and programmatic payout capabilities to 200+ countries. - **[Spend / Corporate Cards]**: Multi-currency corporate and employee cards with customisable spend controls, designed for global teams. - **[Expense Management]**: A platform to track, control, and reconcile global business expenses, including employee reimbursements. - **[Billing & Subscription Management]**: A billing platform for usage-based and subscription pricing models, supporting AI companies and complex revenue workflows. - **[Platform APIs]**: API-first infrastructure enabling businesses to embed financial services (accounts, payments, FX, card issuing) into their own products. - **[FX & Treasury]**: Interbank foreign exchange rates and tools to intelligently manage currency risk across markets. ## Market Standing - **Valuation**: US$11 billion (latest valuation in 2025, following a fresh investment round). - **Key Metric**: US$1.8 billion in total funding raised; Annual Recurring Revenue (ARR) surpassed US$1 billion by 2025. - **Notable Investors/Partners**: Series G investors include prominent global venture capital firms (specific names not listed in source but backed by top-tier VCs); serves over 200,000 businesses including TikTok, Brex, Rippling, Navan, Qantas, and SHEIN. - **Growth Signals**: - US$287 billion in global payments processed (USD). - 92% of transfers settled same-day, 50% processed instantly. - Over 85 financial licenses and registrations globally. - Team of ~2,300 people across 27 offices internationally. - Dual-headquarters model (Singapore + San Francisco) adopted in 2025 to support next phase of growth. ## Competitive Advantages - Proprietary, API-first infrastructure built from scratch (not riding legacy banking rails), enabling faster, cheaper, and more transparent cross-border transactions. - Unified platform combining banking, payments, spend management, billing, and FX — reducing the need for multiple vendors. - Deep AI integration across the platform to automate financial operations and provide intelligent insights. - Extensive regulatory licensing (85+ licenses) across major markets, creating a high barrier to entry. - Strong network effects: serves both direct businesses and platforms/marketplaces that embed Airwallex into their offerings. ## Strategic Focus - Continue scaling the platform to support the rapid growth of AI-native companies and usage-based business models (highlighted by the launch of their global billing platform). - Expand the dual-headquarters presence to tap into the largest tech talent markets (San Francisco and Singapore). - Invest heavily in AI to build "interconnected, intelligent financial systems where money, data, and decisions move together." - Deepen product capabilities to automate financial operations end-to-end for global businesses. ## Why Work Here - High-growth, ambitious environment: described as "the most ambitious work of your career" by the company; founded in 2015 and already processing $287B in payments. - Global impact and scale: work on infrastructure used by 200,000+ businesses, from startups to enterprises like TikTok and SHEIN. - Hybrid/office culture: 27 offices globally (Melbourne, Singapore, San Francisco, London, Shanghai, Amsterdam, and more) offering opportunities to work across teams and locations. - Engineering-driven culture: heavy emphasis on building proprietary technology, AI, and developer-first products. - Notable perks: opportunity to work on a modern financial stack, exposure to cutting-edge AI/Fintech intersection, and a diverse, international team of "2,200 of the brightest and most innovative people in tech." ## Sources 1. [airwallex.com - Who We Are](https://www.airwallex.com/en-eu/who-we-are) 2. [airwallex.com - Global Platform](https://www.airwallex.com/global) 3. [careers.airwallex.com](https://careers.airwallex.com/) 4. [LinkedIn - Airwallex](https://www.linkedin.com/company/airwallex) 5. 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