About this role
About the Role Moniepoint is seeking a data-driven, impact-oriented Senior Data Scientist to power consumer lending decisions at scale. You will build models, experiments, and insights that shape acquisition, underwriting, and retention for millions of customers across Nigeria and Africa. This role sits at the intersection of data science, credit risk, and product, and will influence pricing, credit limit modeling, and model deployment strategy, while driving a culture of data-driven decision making. What You'll Do
- Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
- Design and run experiments to optimise approval rates, loss rates, and profitability
- Partner with product squads to embed decision logic into real-time systems
- Ensure data quality, compliance, and ethical use of models across all decisioning processes
- Mentor product squads on best practices in experimentation and data-driven decision making
- Provide models to optimise outcomes in collections, churn management and user retention What We're Looking For
- Degree in Statistics/Mathematics/Engineering or a quantitative field
- 5+ years of experience in data science, decision science, or risk analytics within financial services
- Working knowledge of credit risk, consumer lending, and regulatory considerations
- Proficiency in SQL and at least one modelling/programming language (Python or R)
- Experience with A/B testing, machine learning, collections modelling and churn management
- Ability to translate complex analyses into clear recommendations for business stakeholders
- High ownership mindset and comfort working in fast-paced, cross-functional teams Compensation & Benefits
- Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. 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.