Data Analyst – Credit at Kuda

Role Overview

• As a Data Analyst – Credit, you are supporting the analytics throughout the credit product life cycle, from product design, to credit acquisition, portfolio management, collection and profit & loss. You will work within the Decision Science team, reporting to the Credit Risk Analytics Lead.

Key Responsibilities 

• Analyze portfolio performance metrics to identify trends, risks, and opportunities
• Review and refine credit policies, including rule-based decision engines
• Build and maintain profit and loss forecasts to guide strategic decisions
• Conduct credit limit assignment and affordability assessments
• Perform score cut-off analysis to improve approval and risk strategies
• Monitor and enhance collection strategies based on customer segmentation and outcomes
• Design and run A/B tests to assess and optimize lending and collections performance
• Communicate actionable insights and recommendations to senior stakeholders

Requirements

• Academic background in a mathematical discipline (e.g. Mathematics, Statistics, Physics, or related field)
• Minimum of 3 years’ experience as a Quantitative Analyst or Data Analyst in a financial services, fintech or e-commerce environment
• Strong proficiency in SQL for data extraction and manipulation
• Hands-on experience with open-source statistical programming languages such as Python or R
• Solid understanding of statistical tests commonly used in A/B testing
• Experience using statistical software packages (open-source preferred)
• Proven experience developing and maintaining analytical reports or dashboards from end-to-end
• Ability to interpret and present insights from reports in a business context, including stakeholder engagement and recommendation

Advantageous

Strong understanding of credit risk and portfolio performance metrics, including:

• Annualised loss
• Vintage curves
• Roll rates
• Exposure at Default (EAD)
• Loss Given Default (LGD)