Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex8 months ago

Location

SG - Singapore

Type

Full Time

Level

Senior

Role

Data Scientist

Posted

Jul 18, 2025

Full TimeSenior

The role

Summary

Senior Data Scientist position at Airwallex focused on building risk analytics and fraud detection systems for their global fintech platform. The role involves developing machine learning models, risk strategies, and real-time decisioning systems across diverse product lines, requiring 5+ years of risk management experience and strong technical skills in Python, SQL, and data visualization tools.

What you'll do

Risk Strategy Development: Craft and refine comprehensive risk strategies including risk controls, customer experience optimization, and operational workflows while minimizing impact on customers and critical business metrics

Data-Driven Analytics: Utilize advanced data analytics to identify opportunities, measure performance, and determine effectiveness of risk solutions through continuous monitoring and optimization

Business Strategy Communication: Communicate actionable business strategies and present new strategy recommendations to senior management for approval and implementation

Cross-Functional Collaboration: Collaborate with Platform, Operations, and other internal teams, as well as external partners like data vendors to formulate and execute comprehensive fraud risk solutions

Machine Learning Implementation: Develop and deploy machine learning models for real-time risk assessment and fraud detection across diverse product lines and platforms

Risk Analysis: Conduct comprehensive risk analysis at both transaction and merchant levels to identify patterns and prevent financial crimes

Performance Optimization: Monitor and optimize performance of existing and new risk solutions to ensure desired results and continuous improvement

What we look for

Technical

SQL Expertise5+ years of hands-on experience extracting and manipulating large datasets with advanced SQL queries

Programming LanguagesProficiency in Python, Shell, or R for scripting, data analysis, and model development

Data VisualizationExperience building comprehensive visualizations using large datasets and multiple data sources with Looker or Tableau

Machine LearningKnowledge of machine learning techniques and analytics frameworks for risk detection and prevention

Risk Management SystemsUnderstanding of centralized risk platforms and real-time decisioning systems

Education

Bachelor's DegreeBachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics, or related quantitative discipline

Experience

Risk Management Experience5+ years proven risk management experience including analytics, modeling implementation, and stakeholder management

Data Analysis Experience5+ years of hands-on experience with large-scale data extraction, manipulation, and analysis

Cross-functional CollaborationExperience working with geographically distributed teams and managing by influence

Senior Stakeholder ManagementExperience presenting to and building consensus with senior organizational leaders

Skills

Required skills

SQLAdvanced SQL skills for large dataset manipulation and extraction

PythonProgramming proficiency for data analysis and machine learning model development

Risk AnalysisExpertise in transaction and merchant-level risk assessment

Data VisualizationProficiency with Looker or Tableau for creating business intelligence dashboards

Statistical AnalysisStrong foundation in statistics and quantitative analysis methods

Nice to have

Analytical ThinkingIntuitive, organized analytical thinking with ability to perform detailed analysis and validate strategies

Communication SkillsExcellent consensus building, written, verbal, and presentation skills with senior leaders

Cross-functional LeadershipExperience managing geographically distributed teams and influencing without direct authority

Machine LearningAdvanced knowledge of ML techniques for fraud detection and risk modeling

Financial Crime DetectionSpecialized knowledge in financial crime prevention and compliance analytics

Compensation & benefits

Benefits

Global Impact

Work on products that empower over 200,000 businesses worldwide including major companies like Brex, Rippling, and SHEIN

Career Growth

Accelerated learning and true ownership opportunities in a fast-growing fintech valued at US$8 billion

Innovation Environment

Work with cutting-edge technology and AI tools to solve complex problems faster

Collaborative Culture

Join a team of over 2,000 innovative professionals across 26 global offices

Equal Opportunity

Inclusive workplace that values diversity and provides equal opportunities based on merit and qualifications

Accommodation Support

Disability and special needs accommodation available to ensure inclusive workplace

Interview process

1
Application Review — Initial screening of qualifications, experience, and technical background in risk management and data science
2
Technical Assessment — Evaluation of SQL, Python, and data analysis skills through practical exercises and case studies
3
Case Study Interview — Risk analysis scenario discussion demonstrating problem-solving approach and strategic thinking
4
Stakeholder Interview — Assessment of communication skills and ability to present to senior management
5
Final Interview — Cultural fit evaluation and discussion of career goals with senior team members