Kuda Bank
Banking + 2 more
Description
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
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
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