Kuda is an entirely app-based digital bank on a mission to become the preferred choice for people across Africa and its global diaspora. We eliminate unfair fees and help customers manage their budgets, spend wisely and save efficiently. After closing Africa’s largest seed round and completing our Series A in February 2021 with top global investors, we now have offices in London (HQ), Lagos and Cape Town, with more opening across the continent later this year.
To expand our reach and transform how people access financial services, we’re seeking enthusiastic, skilled individuals who share our vision. If that sounds like you, please get in touch.
: Lagos, Nigeria
: Full-time (Hybrid)
: Data & Decisioning
: Lagos, Nigeria
You’ll analyze attribution, engagement and behavior data to surface insights that drive our growth experiments. You’ll build automated dashboards, partner with growth and marketing teams on campaign optimization, and ensure our analytics support A/B testing and privacy compliance.
: Lagos (Hybrid)
: Full-time
Design, build and optimize our native iOS app to deliver a seamless user experience. You’ll collaborate with cross-functional teams to define new features, troubleshoot performance issues and maintain high code quality.
: Lagos, Nigeria
: Full-time
: Lagos, Nigeria
: Full-time
You’ll translate designs and wireframes into high-quality, performant React applications. Partner with UX designers, backend engineers and product managers to deliver seamless web experiences that adhere to SEO best practices.
: Lagos, Nigeria
: Full-time
Your mission:
Support analytics across the credit product lifecycle—from design and acquisition to performance monitoring, collections and profitability. Work within the Decision Science team to analyze portfolio metrics, run A/B tests and recommend strategy adjustments.
Key duties:
Qualifications:
How to Apply: Click here to apply online
Location: Lagos, Nigeria
Job Type: Full-time
Reports to: Director of Decision Science
Role overview:
Operationalize machine learning models in production and implement business rules within a low-code decision engine. Collaborate with data engineers and software teams to integrate, monitor and maintain deployed models and rules.
What you’ll do:
- Troubleshoot and optimize model performance
- Document deployment processes and system configurations
What you bring:
- Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Data Science or Economics
- 3+ years of software engineering experience, preferably in fintech
- Familiarity with GCP and production deployment pipelines
- Excellent analytical, problem-solving and communication skills
How to Apply: Click here to apply online