Data Analyst - Credit (Hybrid)
Kuda Bank
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
Bonus Points:
- Strong understanding of credit risk and portfolio performance metrics, including:
- Annualised loss
- Vintage curves
- Roll rates
- Exposure at Default (EAD)
- Loss Given Default (LGD)
What We Offer
- 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.
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should:
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Vacancy posted 6 hours ago
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