Staff Data Scientist, Analytics (Product)

Airwallex1 months ago

Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Data Engineer

Posted

Jan 16, 2026

Full TimeStaff

The role

Summary

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.

What you'll do

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

What we look for

Technical

Data Querying LanguagesExpert proficiency in SQL for complex data analysis and querying

Scripting LanguagesAdvanced Python programming skills for data science and analytics

Statistical SoftwareProficiency in R or similar statistical/mathematical software

Statistical AnalysisStrong ability to perform statistical analysis to drive data-informed decisions

Schema DesignExperience in database schema design and dimensional data modeling

Education

Quantitative DegreeBachelor's or advanced degree in statistics, mathematics, computer science, economics, or related quantitative field

Experience

Industry ExperienceMinimum 6 years of industry experience in data science or analytics roles

Executive CommunicationProven experience communicating analytical results to executives and cross-functional teams to influence strategy

Fintech ExperienceExperience in technology, financial services, or high-growth startup environments (preferred)

Skills

Required skills

SQL ExpertiseAdvanced proficiency in SQL for complex data querying and analysis

Python ProgrammingExpert-level Python skills for data science, analytics, and automation

Statistical AnalysisStrong statistical modeling and analysis capabilities for data-driven decision making

Executive CommunicationProven ability to present complex analytical findings to senior leadership

Quantitative AnalysisAdvanced quantitative analysis skills with focus on business problem-solving

Nice to have

R ProgrammingStatistical computing and advanced data visualization using R

Schema DesignDatabase schema design and dimensional data modeling experience

Fintech Domain KnowledgeUnderstanding of financial technology, payments, or financial services industry

High-Growth ExperienceExperience working in fast-paced, high-growth startup or technology environments

Data MiningAdvanced data mining techniques and pattern recognition capabilities

Compensation & 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

Interview process

1
Initial Screening — Phone or video call to discuss background, experience, and role alignment
2
Technical Assessment — SQL and Python coding challenges, statistical analysis problems, and case studies
3
Stakeholder Interview — Discussion with Product and Engineering teams on cross-functional collaboration
4
Executive Presentation — Present analytical findings and recommendations to senior leadership
5
Cultural Fit Interview — Assessment of alignment with Airwallex values, operating principles, and team dynamics
6
Final Interview — Comprehensive discussion with hiring manager covering technical depth and strategic thinking