Staff Data Scientist, Analytics (Product)
Data Engineer · Staff · Full Time
Opens Airwallex's application page
Role
What you'll do.
Airwallex is seeking a Staff Data Scientist for their Analytics (Product) team in Singapore to drive product strategy through data insights. The role focuses on analyzing complex datasets to improve product performance, working with cross-functional teams including Product and Engineering, and developing data-driven strategies for this $8B fintech company serving over 200,000 global businesses.
Responsibilities
- Product Strategy Development: Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations
- Complex Data Analysis: Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
- Technical Strategy Implementation: Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products
- Product Metrics Management: Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Cross-functional Collaboration: Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Qualifications
What we look for.
Technical
Data Querying Languages
Expert proficiency in SQL for complex data analysis and querying
Scripting Languages
Advanced Python programming skills for data science and analytics
Statistical Software
Proficiency in R or similar statistical/mathematical software
Statistical Analysis
Strong ability to perform statistical analysis to drive data-informed decisions
Schema Design
Experience in database schema design and dimensional data modeling
Education
Quantitative Degree
Bachelor's or advanced degree in statistics, mathematics, computer science, economics, or related quantitative field
Experience
Industry Experience
Minimum 6 years of industry experience in data science or analytics roles
Executive Communication
Proven experience communicating analytical results to executives and cross-functional teams to influence strategy
Fintech Experience
Experience in technology, financial services, or high-growth startup environments (preferred)
Skills
Required
SQL Expertise
Advanced proficiency in SQL for complex data querying and analysis
Python Programming
Expert-level Python skills for data science, analytics, and automation
Statistical Analysis
Strong statistical modeling and analysis capabilities for data-driven decision making
Executive Communication
Proven ability to present complex analytical findings to senior leadership
Quantitative Analysis
Advanced quantitative analysis skills with focus on business problem-solving
Preferred
R Programming
Nice to haveStatistical computing and advanced data visualization using R
Schema Design
Nice to haveDatabase schema design and dimensional data modeling experience
Fintech Domain Knowledge
Nice to haveUnderstanding of financial technology, payments, or financial services industry
High-Growth Experience
Nice to haveExperience working in fast-paced, high-growth startup or technology environments
Data Mining
Nice to haveAdvanced data mining techniques and pattern recognition capabilities
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Benefits
Global Career Opportunities
Access to international career development across 26+ offices worldwide
High-Growth Environment
Opportunity to work in a fast-scaling $8B fintech company with rapid career advancement
Innovation Focus
Work on cutting-edge fintech solutions with AI integration and next-generation financial technology
Diverse Team Collaboration
Collaborate with over 2,000 talented professionals across global markets
Equal Opportunity Workplace
Inclusive environment that values diversity and provides equal opportunities for all employees
Process
Interview steps.
- 01
Initial Screening
Phone or video call to discuss background, experience, and role alignment
- 02
Technical Assessment
SQL and Python coding challenges, statistical analysis problems, and case studies
- 03
Stakeholder Interview
Discussion with Product and Engineering teams on cross-functional collaboration
- 04
Executive Presentation
Present analytical findings and recommendations to senior leadership
- 05
Cultural Fit Interview
Assessment of alignment with Airwallex values, operating principles, and team dynamics
- 06
Final Interview
Comprehensive discussion with hiring manager covering technical depth and strategic thinking
Full posting
Original listing.
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About the team
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog.
This role is based in Singapore.
Responsibilities:
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Minimum 6 years of industry experience and a degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Experience in schema design and dimensional data modeling a plus
Ability to perform statistical analysis to drive data-informed decisions
Preferred qualifications:
Experience in technology, financial services and/or a high growth environment is advantageous
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 email address. Please apply only through 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.
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