Opportunity at
KudaSenior Data Analyst
Kuda, backed by over $100 million in funding from prominent investors, operates a fintech platform designed to provide accessible and affordable financial services across Africa through…
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About This Role
Kuda, backed by over $100 million in funding from prominent investors, operates a fintech platform designed to provide accessible and affordable financial services across Africa through digital money transfers, business banking, and instant credit. The company is currently hiring a Senior Data Analyst - Credit to join the Decision Science team and report to the Credit Risk Analytics Lead. In this position, the analyst will support data analytics across the…
Job Description
Kuda, backed by over $100 million in funding from prominent investors, operates a fintech platform designed to provide accessible and affordable financial services across Africa through digital money transfers, business banking, and instant credit. The company is currently hiring a Senior Data Analyst - Credit to join the Decision Science team and report to the Credit Risk Analytics Lead.
In this position, the analyst will support data analytics across the complete credit product life cycle, covering product design, credit acquisition, portfolio management, collections, and profit and loss. The role is suited for an experienced quantitative professional with a strong mathematical background who wants to help shape the future of African finance.
Kuda maintains an equal-opportunity hiring practice and operates on a hybrid in-office schedule, advocating for work-life balance among its multinational team.
Responsibilities
- Analyze portfolio performance metrics to spot trends, potential risks, and business opportunities
- Review and refine credit policies as well as rule-based decision engines
- Develop and maintain profit and loss forecasts to support strategic planning
- Handle credit limit assignments and affordability assessments
- Conduct score cut-off analysis to optimize approval and risk management strategies
- Monitor and upgrade collection strategies utilizing customer segmentation and outcome data
- Design and execute A/B tests to evaluate and enhance lending and collections results
- Communicate clear insights and strategic recommendations to senior stakeholders
Requirements
- Minimum of 5 years of professional experience as a Quantitative Analyst or Data Analyst within financial services, fintech, or e-commerce
- Strong proficiency in SQL for extracting and manipulating data
- Practical experience using open-source statistical programming languages like Python or R
- Solid understanding of statistical tests utilized in A/B testing
- Experience working with statistical software packages, with a preference for open-source options
- Proven background in creating and maintaining end-to-end analytical reports and dashboards
- Ability to interpret data and present business insights to stakeholders
Qualifications
- Academic degree in a mathematical discipline such as Mathematics, Statistics, Physics, or a related field
- Strong knowledge of credit risk and portfolio performance metrics including annualized loss, vintage curves, roll rates, Exposure at Default, and Loss Given Default
Core Skills
Benefits
- Pension
- Competitive annual leave alongside bank holidays
- Paid time off covering parental leave, moving day, birthday, and study leave
- Group life insurance
- Medical insurance
- Welfare packages for weddings and compassionate leave
- Perkbox access
- Goalr employee wellness application
- Award-winning learning and development training
- Multinational team environment with a hybrid in-office schedule
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the work schedule for the Senior Data Analyst role?
Kuda follows a hybrid in-office schedule and advocates for work-life balance.
Who will the Senior Data Analyst report to?
The role reports directly to the Credit Risk Analytics Lead within the Decision Science team.
What experience is required for this position?
Applicants must have a minimum of 5 years of experience as a Data Analyst or Quantitative Analyst in fintech, financial services, or e-commerce, backed by an academic background in a mathematical field.
What is the salary for this position?
The job posting does not specify the salary for this role.
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