Who we are

Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing
fintech, trusted by over 10 million business and individual accounts, processing
billions of Naira in transactions monthly. Our mission is to enable financial
happiness for every African, everywhere.

About this role:

We're looking for a Data Scientist to sit at the heart of how we fight fraud —
building the models, experiments, and detection systems that protect millions of
customers and merchants across our platform. This is a high-impact role at the
intersection of machine learning, product, and engineering, where your work will
directly shape how Moniepoint detects and responds to emerging fraud threats.

You are a data-driven, intellectually curious Data Scientist who is energized by
hard problems in fraud and financial crime. You'll prototype and ship ML models,
design experiments, and uncover new fraud signals across our ecosystem —
partnering closely with engineers, product managers, and analysts to turn your
work into production-grade systems.

Responsibilities:

* Prototype,



evaluate, and help produce machine learning models for fraud
detection; own their ongoing monitoring and retraining cycles.

* Design and run experiments to measure the impact of fraud interventions,
balancing customer experience against loss reduction.

* Size fraud typologies across our product lines to inform prioritization and
investment decisions.

* Build and maintain anomaly detection systems to surface novel fraud vectors
before they scale.

* Work closely with fraud operations, engineers, product managers, and data
analysts to translate model outputs into real-world mitigations.

Experience & Background:

* A strong foundation in statistics with a degree in a quantitative field
(Statistics, Mathematics, Engineering, Computer Science, or similar).

* 3+ years of experience in data science, decision science, or risk analytics
within fraud, payments, or financial crime.

* Hands-on experien

📌 Data Scientist (España)
🏢 Moniepoint
📍 España