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- Lagos, Nigeria
- Muang Phônsavan, Laos
Rollenübersicht von JobGrid
Data Analyst - Credit at Kuda Technologies Ltd: Lagos, Nigeria, Muang Phônsavan, Laos; Hybrid; Vollzeit. This listing is part of JobGrid's Data-Analyst-Jobs von öffentlichen Karriereseiten. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Lagos, Nigeria, Muang Phônsavan, Laos, Hybrid
- Role classification: Vollzeit
- Source freshness: checked by JobGrid on 2026-06-09.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Kuda, which means ‘love’ in Shona, is more than a fintech - it’s a movement to make financial services accessible, affordable, and truly rewarding for every African.
Backed by over $100 million from some of the world’s most respected investors, we’re building a smarter alternative to traditional banking - offering seamless money transfers, business banking, and instant access to credit, all through your device.
At Kuda, we don’t just build products - we build people. We share the love in how we collaborate, carry everyone along as we grow, break boundaries to challenge what’s possible, and show up every day committed to doing better.
If you’re driven by purpose, excited by impact, and ready to help redefine the future of finance in Africa, you’ll feel right at home here.
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