Senior Data Scientist, Algorithm (Lending & Onboarding) (Fintech)

Location: Singapore

Company

Airwallex provides an AI-native financial operating system and regulated infrastructure for global payments and financial products.

What you will do

• Build real-time machine learning models for account takeover prevention and fraud decisioning.
• Develop credit risk models and analytical frameworks for merchant risk and lending growth.
• Translate business requirements into analytical, modeling, and risk strategy problems across fraud, credit, and onboarding.
• Design performance monitoring, metrics frameworks, and decision-support tools to improve risk visibility and decision quality.
• Partner with Product, Engineering, Operations, and other cross-functional teams to deploy data-driven strategies and deliver measurable business impact.

Requirements

• 3+ years of experience in analytics, data science, risk strategy, or a related quantitative role.
• Bachelor’s degree or higher in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline.
• Proficiency in Python and SQL.
• Strong problem-solving skills and experience working with large datasets.
• Experience partnering with cross-functional stakeholders to solve business problems.

Nice to have

• Experience in credit, fraud, or related risk domains.
• Hands-on experience with model development, validation, or monitoring.
• Experience designing risk rules, decision strategies, or performance monitoring frameworks.

Culture & Benefits

• Work on risk and payments problems with direct impact on business outcomes.
• Collaborate with a cross-functional team in a fast-paced, high-growth environment.
• Drive the adoption of advanced data science techniques and experimentation.