Senior Data Scientist, Analytics (Product)

Airwallex; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading fintech company in Singapore is seeking a data analyst with a minimum of 5 years of industry experience and expertise in SQL and Python. The role involves working with complex data sets to drive product improvements and collaborating with cross-functional teams to influence product strategy. Candidates should have a degree in a quantitative field and strong statistical analysis skills. Join us at the forefront of global financial innovation.

Qualifications

• Minimum 5 years of industry experience.
• Expert in data querying and statistical analysis.
• Ability to communicate results to influence strategy.

Responsibilities

• Define and drive product improvement opportunities.
• Work with large data sets to solve business problems.
• Apply technical expertise in quantitative analysis.
• Measure success of product efforts through key metrics.
• Collaborate with cross-functional teams on product strategy.

Skills

Data querying languages (SQL)

Scripting languages (Python)

Statistical/mathematical software (R)

Statistical analysis

Communication skills

Education

Degree in a quantitative field

Job description

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 5 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.