Moniepoint - Senior Data Scientist (Fraud)

• Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. • Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. • Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions. • System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. • Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. • We would love to hear from you if… • A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) • 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime • Hands-on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus • Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering • Proficiency in Python and SQL; comfort working across the full model development lifecycle • An investigative instinct, you enjoy digging into data to find patterns others miss • The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action • Comfort working in fast-paced, cross-functional teams with high ownership expectations • What we can offer you • Culture: We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. • Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits • What to expect in the hiring process • A preliminary phone call with the recruiter • An interview with a business lead • Technical take-home task (SQL/Python test and case study) • A behavioural and technical interview with the Head of Data Science and a member of the executive team