Senior Data Scientist, Algorithm (Lending & Onboarding)

The role

You will tackle risk problems across credit and fraud by building data-driven decision systems. You will develop real-time ML models, credit risk models, and analytical frameworks to protect customers and support lending business growth.

What you will do

• Build real-time ML models for Account Takeover prevention and fraud decisioning
• Develop credit risk models and analytical frameworks to assess merchant risk
• Translate business requirements into analytical, modeling, and strategy problems
• Design performance monitoring, metrics frameworks, and decision-support tools
• Partner with Product, Engineering, Operations, and other cross-functional teams

Required qualifications

• 3+ years of experience in analytics, data science, risk strategy, or a related quantitative role
• Bachelor’s degree or above in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
• Proficient 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 in model development, validation, or monitoring
• Experience designing risk rules, decision strategies, or performance monitoring frameworks

Benefits

• Opportunity to work on impactful problems that directly influence payments success and business outcomes
• Collaborate with a talented, cross-functional team in a fast-paced, high-growth environment
• Drive the adoption of advanced data science techniques and experimentation

About the company

Airwallex is an AI-native financial operating system used by businesses to run financial operations or build financial products. It provides financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.