Senior Data Scientist (Credit)

Moniepoint is seeking a data-driven, impact-oriented Senior Data Scientist (remote, Nigeria) to power its consumer lending decisions at scale. You will build the models, experiments and insights that shape how Moniepoint acquires, underwrites and retains millions of customers, driving pricing, credit limit modelling and credit model deployment, and building the first suite of credit risk models with the Consumer Credit team

Job Responsibilities

• 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

Requirements

• Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)
• 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 or programming language (Python, 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

Benefits

• Attractive salary, pension, health insurance and monthly bonuses
• Learning and development-focused environment

Hiring Process

• Preliminary phone call with the recruiter
• Coding exercise on HackerRank (data science theory and Python fundamentals)
• Take-home assignment and technical interview reviewing it
• Behavioural and technical interview with the hiring manager

How to Apply

Follow the link below