Senior Data Scientist, Analytics

AIRWALLEX (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading global payment platform in Singapore is seeking a Data Scientist to enhance payment success rates and product growth. The ideal candidate has over 5 years of experience, holds a PhD or MS in a quantitative field, and possesses strong skills in SQL, Python, and data analysis. The role involves designing experiments, setting product metrics, and collaborating with engineering and product teams. Join us to work in a fast-paced, innovative environment and make impactful contributions.

Qualifications

• 5+ years of industry experience in a quantitative field.
• Strong data querying, scripting, and statistical analysis skills.
• Experience influencing strategy through data analyses.

Responsibilities

• Design and implement experiments to improve payment success rates.
• Identify opportunities for product enhancement and growth.
• Set and monitor metrics to measure product success.
• Collaborate with engineers on optimization tools.
• Advise on product strategy through data insights.

Skills

Data analysis

SQL

Python

Data visualization

Education

PhD or MS in a quantitative field

Tools

R

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 100,000 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 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world‑leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, 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.

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.

Responsibilities:

• Design and implement rigorous experiments to improve payment success rates
• Identify and quantify opportunities to improve and grow the product, and driving roadmaps with those insights
• Measure product success through setting and monitoring of northstar metrics, goal setting, and forecasting
• Partner with engineers to develop tools to identify optimization opportunities at scale
• Partner with Product, Engineering, Commercial, and cross‑functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum qualifications:

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• Experience with communicating the results of analyses to executives and cross‑functional teams to influence 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
• Expert in experimentation to drive data‑informed decisions
• Experience in technology, financial services and/or a high growth environment is advantageous