Staff Data Scientist, Analytics (CEO Office)

Airwallex2 months ago

Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Data Scientist

Posted

Jan 14, 2026

Full TimeStaff

The role

Summary

Airwallex is seeking a Staff Data Scientist to serve as the primary data partner for the CEO and Regional Business Leads, focusing on strategic analytics and forecasting to drive business growth. This role requires 7+ years of experience with advanced statistical methods, causal inference, and direct executive stakeholder collaboration within a $8B fintech company revolutionizing global payments.

What you'll do

Executive Data Partnership: Serve as the primary data partner for CEO and Regional Business Leads, providing strategic insights and analytics support

Macroeconomic Impact Analysis: Use causal inference methods to understand and quantify how macroeconomic events impact business performance

AI-Driven Insights: Leverage artificial intelligence tools to generate actionable business insights and improve operational efficiency

Forecasting Leadership: Lead company-wide forecasting efforts by building aggregation tools and applying advanced statistical methods

Data Product Development: Scope and build data products ranging from MVP prototypes to fully developed solutions

Team Mentorship: Mentor junior team members and foster an environment of technical excellence and critical thinking

Strategic Decision Support: Provide data-driven recommendations to influence strategic business decisions across the organization

Cross-functional Collaboration: Partner with teams across the entire business to provide overarching insights and prioritization guidance

What we look for

Technical

Advanced Statistical MethodsExpertise in causal inference methods, forecasting techniques, and statistical modeling

Programming ProficiencyExpert-level skills in Python and R for data analysis and model development

Database ManagementAdvanced SQL querying capabilities for large-scale data manipulation

Data ArchitectureExperience with Airflow, Databricks, and dbt for data pipeline development

Machine LearningProficiency in ML algorithms, model validation, and deployment strategies

Financial SystemsExperience with Excel and enterprise finance systems like Oracle

Education

Advanced DegreePhD or MS in Statistics, Engineering, Computer Science, Economics, or related quantitative field

Experience

Industry ExperienceMinimum 7 years of professional data science experience in technology or financial services

Executive Stakeholder ManagementProven track record of working directly with C-level executives to influence strategy

High-Growth EnvironmentExperience working in fast-paced, rapidly scaling technology companies

Financial Services BackgroundPreferred experience in fintech, payments, or financial services industry

Skills

Required skills

Causal InferenceAdvanced expertise in causal inference methodologies for business impact analysis

Statistical ForecastingProven ability to build and evaluate complex forecasting models

Python ProgrammingExpert-level Python skills for data science and machine learning applications

SQL ProficiencyAdvanced SQL querying capabilities for large-scale data analysis

Executive CommunicationExceptional ability to communicate complex technical concepts to C-level stakeholders

Data Pipeline ArchitectureExperience with modern data stack including Airflow, Databricks, and dbt

Nice to have

R ProgrammingStatistical computing expertise for advanced analytics workflows

Financial SystemsExperience with Excel and enterprise finance systems like Oracle

Fintech Domain KnowledgeUnderstanding of payments, financial services, and regulatory environments

AI/ML Model DeploymentExperience deploying machine learning models in production environments

Cross-border PaymentsKnowledge of international payment systems and foreign exchange markets

Compensation & benefits

Stock options

Available

Benefits

Equity Participation

Stock options in a $8 billion valuation company with potential for significant growth

Global Career Opportunities

Access to career advancement across 26 offices worldwide

Learning and Development

Accelerated learning opportunities in cutting-edge fintech technologies

Innovation Environment

Work with AI tools and latest technologies to solve complex financial challenges

Diverse Team Culture

Collaborate with over 2,000 innovative professionals from diverse backgrounds

Strategic Impact

Direct influence on company strategy through executive-level partnerships

Interview process

1
Initial Screening — Phone/video interview with HR to assess cultural fit and basic qualifications
2
Technical Assessment — Take-home data science challenge focusing on causal inference and forecasting
3
Technical Deep Dive — Panel interview with data science team covering statistical methods and problem-solving approach
4
Executive Presentation — Present analytical findings and recommendations to senior leadership team
5
Cross-functional Interview — Meet with stakeholders from various business units to assess collaboration skills
6
Final Round — Cultural fit interview and discussion of career goals with hiring manager