Senior Data Scientist (Fraud)

Stack

Responsibilities

• ▹Prototype, evaluate and help productionize machine learning models for fraud detection, owning 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 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

Requirements

• ▹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 production
• ▹Solid grounding in experimentation, statistical inference, model evaluation and feature engineering
• ▹Proficiency in Python and SQL
• ▹An investigative instinct for finding patterns others miss
• ▹Ability to communicate technical findings clearly to non-technical stakeholders

Nice to have

• ▹Fraud, risk or financial services experience with production ML models

Soft skills

What we offer

• ▹Attractive salary, pension, health insurance and monthly bonuses
• ▹Learning and development-focused environment with regular internal technical talks

About the company

Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly.