Airwallex
Senior Data Scientist, Analytics (Risk & Payments)
UK - London. Posted 2 days ago
The role
You will design and run experiments to improve the payment product experience and payment success rates. You will build measurement frameworks and metrics that guide product strategy, and mentor junior data scientists.
What you will do
- Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates
- Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
- Translate open-ended business problems into clearly defined data science initiatives
- Build scalable measurement frameworks and strategic north star metrics for data-driven decisions across teams
- Communicate data insights and recommendations to technical and non-technical audiences
- Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives
Required qualifications
- 7+ years industry experience
- A degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact
- Excellent communication and interpersonal skills
- Proven ability to influence product strategy in high-growth environments
- Strong skills in SQL and Python/R
Nice to have
- An advanced degree (MS or PhD)
- Experience with data modeling
- Experience in technology, financial services and/or a high growth environment
Before you apply
- Airwallex will not ask for bank details, sensitive ID numbers (such as passport), or any payment during the application or interview process
- Apply only through careers.airwallex.com or the official LinkedIn page
- Airwallex does not accept unsolicited resumes from search firms or recruiters
About the company
Airwallex is an AI-native financial operating system used by more than 675,000 businesses, founded in Melbourne in 2015. It is co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices.