Senior Data Scientist, Analytics (Risk & Payments)

Location: UK - London

Company

Airwallex provides AI-native financial infrastructure and global payment services for businesses and financial-product platforms.

What you will do

• Design and implement frontend experiments to improve payment product experience and payment success rates.
• Identify and quantify opportunities to improve and grow the payments product, using insights to drive roadmaps.
• Translate open-ended business problems into clearly defined data science initiatives.
• Build scalable measurement frameworks and north star metrics for consistent, data-driven product decisions.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and act as the technical owner for cross-functional initiatives.

Requirements

• 7+ years of industry experience and a degree in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics.
• Proven experience with experimentation and causal inference that drove data-informed product decisions with concrete impact.
• Excellent communication and interpersonal skills, with the ability to influence product strategy in high-growth environments.
• Strong SQL and Python or R skills.
• Experience in technology, financial services, or a high-growth environment is advantageous.

Nice to have

• Advanced degree such as an MS or PhD.
• Experience with data modeling.

Culture & Benefits

• Work within a global financial infrastructure company spanning North America, Europe, the Middle East, and Asia-Pacific.
• Collaborate in a fast-moving environment that values founder-level energy, curiosity, good judgment, and first-principles thinking.
• Employment is full time.

Hiring process

• Apply only through careers.airwallex.com or Airwallex's official LinkedIn page.
• Official recruitment communication comes from an @airwallex.com email address; unsolicited resumes from search firms or recruiters are not accepted.
• Airwallex will not request bank details, sensitive identification numbers, or payment during the application or interview process.