Senior Data Scientist (Fraud)
Moniepoint is seeking a Senior Data Scientist specializing in fraud detection to join our dynamic team. As a global fintech company, we provide payments, banking, credit, and financial management tools to millions of individuals and businesses across high-growth markets. This role offers the opportunity to work at the forefront of real-time payments and transaction monitoring, directly impacting the security and trust of our extensive user base.
In this position, you will develop and deploy fraud detection models across various domains, including payments, account activities, onboarding processes, and merchant transactions. Collaborating closely with Fraud, Risk, Product, and Engineering teams, you will design experiments to optimize fraud detection rates while minimizing false positives and customer friction. Your work will involve building features from high-volume transactional, device, network, and behavioral data, and embedding models into real-time decision systems.
The ideal candidate will possess a strong foundation in statistics and hold a degree in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science. A minimum of five years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime is required. Proficiency in SQL and at least one programming language (Python or R) is essential, along with experience in machine learning, anomaly detection, and real-time decision systems. A deep understanding of fraud typologies and evolving attack patterns is also crucial.
At Moniepoint, we prioritize the well-being of our team members and foster a culture where all voices are heard and respected. We offer a learning and development-focused environment with an emphasis on knowledge sharing and regular technical talks. Compensation includes an attractive salary, pension, health insurance, monthly bonuses, and other benefits.
Joining Moniepoint means becoming part of a fast-paced, high-impact environment where you can work alongside international leaders from top companies. If you are passionate about building data science functions from the ground up and influencing products that affect tens of millions of users, this is an exceptional opportunity to advance your career.