Role Overview
- As a Senior 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 5 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
Why join Kuda?
At Kuda, our people are the heart of our business, so we prioritise your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
- A great and upbeat work environment populated by a multinational team
- Pension
- Career Development & growth
- Competitive annual leave plus bank holidays
- Competitive paid time off Parental, Moving day, Birthday, Study leave etc
- Group life insurance
- Medical insurance
- Well-fare package Wedding, Compassionate and etc
- Perkbox
- Goalr - employee wellness app
- Award winning L&D training
- We are advocates of work-life balance, working in a hybrid in office schedule.
Method of Application
Interested and qualified? Go to Kuda Bank on jobs.workable.com to applyRecruiter Queen never charges candidates to apply for a job. If anyone asks you to pay to be hired, don't pay, and let us know.