Senior Data Scientist, Analytics (Fintech)

TL;DR

Senior Data Scientist, Analytics (Fintech): Monitoring and optimizing business lending portfolios through data-driven analysis and credit risk strategy support with an accent on portfolio insights, delinquency trends, and credit quality metrics. Focus on building analytical frameworks, designing risk dashboards, and implementing ECL modelling to mitigate potential losses.

Location: Singapore

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

• Monitor and analyze business lending portfolios, focusing on delinquency trends and credit quality metrics.
• Identify emerging risks and provide actionable insights to mitigate potential losses.
• Optimize portfolio-level credit strategies to ensure alignment with regional risk policies.
• Prepare risk dashboards and management summaries to support senior leadership decision-making.
• Collaborate with Operations and Product teams to maintain consistent application of credit policies.
• Conduct stress testing, periodic portfolio reviews, and analytical support for regulatory reporting.

Requirements

• 3+ years of experience in credit risk analytics, risk strategy, or portfolio analytics.
• Bachelor's degree or above in Quantitative Finance, Statistics, Computer Science, or Data Science.
• Proficiency in SQL and Python for translating large datasets into actionable insights.
• Strong problem-solving skills and high attention to detail.
• Experience partnering with cross-functional stakeholders to solve business problems.

Nice to have

• Hybrid experience in both risk analytics and modelling.
• Specific experience in SME lending.
• Hands-on experience in ECL modelling, credit strategy analysis, or credit risk assessment.
• Familiarity with stress testing, governance, audit, or regulatory reporting processes.

Culture & Benefits

• Opportunity to tackle impactful credit risk problems in a fast-paced, high-growth environment.
• Collaborative culture that values founder-like energy, true ownership, and first-principles thinking.
• Emphasis on using AI to work smarter and solve problems faster.
• Access to a global team of innovative tech professionals across 27 offices.