- Company: Moniepoint Incorporated
- Location: Remote (Nigeria)
- Job type: Full-time
About the role
Moniepoint Incorporated is a global business payments and banking platform serving over 600,000 businesses. We are looking for a data-driven Senior Data Scientist to lead our consumer lending strategy. You will build the models and insights that shape how we acquire, underwrite, and retain customers across Nigeria and Africa. This role is central to driving pricing, credit limit modelling, and deployment strategies while fostering a culture of effective machine learning and risk management.
Responsibilities
- Develop and deploy credit scoring, affordability, and behavioural models for underwriting, pricing, and collections.
- Design and execute experiments to optimize approval rates, loss rates, and overall profitability.
- Collaborate with product squads to integrate decision logic into real-time systems.
- Ensure data quality, compliance, and ethical use of models in all decisioning processes.
- Mentor teams on best practices for experimentation and data-driven decision making.
- Provide models to improve outcomes in collections, churn management, and user retention.
Requirements
- A degree or qualification in a quantitative field such as Statistics, Mathematics, or Engineering.
- At least 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 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.
How to apply
Interested and qualified candidates should click here to apply online.
