Data Scientist (Fraud)

Overview

Moniepoint seeks a Data Scientist to join its team in a remote capacity. The role focuses on combating fraud by building machine learning models, experiments, and detection systems to protect customers and merchants. The position sits at the intersection of machine learning, product, and engineering, aiming to shape how the platform detects and responds to emerging financial crime threats.

Who can apply

Candidates must hold a degree in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science, providing a strong foundation in statistics. Applicants are required to have at least 3 years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime, alongside hands-on experience building and deploying machine learning models in production environments. Additional qualifications include proficiency in Python and SQL, solid grounding in data science fundamentals like experimentation, statistical inference, model evaluation, and feature engineering, and comfort working in fast-paced, cross-functional teams.

What you get

Selected candidates may be offered visa sponsorship. The position provides an attractive salary, pension, health insurance, an annual bonus, and additional benefits. Employees also gain access to a learning and development-focused environment that emphasizes knowledge sharing, training, and regular internal technical talks.