Moniepoint is a integral fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools – reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.
We’ve grown rapidly in Nigeria and UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets – solving real, meaningful problems at scale.
If you want to build our data science function from the ground up, work with one of Africa’s highest‑scale fintech data sets, and ship products that influence tens of millions of users, this is an exceptional time to join.
About The Role We’re looking for a hands‑on, Spain‑based Data Science Manager to lead our consumer credit data science efforts in a high‑growth environment. This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling,



and production credit model deployment, with direct ownership of decisions that impact millions of customers.
You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. Sitting at the intersection of data science, credit risk, and product, you’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.
Develop credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
Ensure data quality, compliance, and ethical use of models across all decisioning processes.
Mentor product squads on best practices in experimentation and data‑driven decision making.
5 years of experience in data science, decision science, or risk analytics within financial service

📌 Data Science Manager (Madrid)
🏢 Moniepoint, BRM
📍 Madrid