Moniepoint Inc. (Formerly TeamApt Inc.)
1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Payments
Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.
Senior Data Scientist – Credit
🕒 December 12, 2025
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Moniepoint Inc. (Formerly TeamApt Inc.)
1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Payments
Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.
📋 Description
• 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
• You’re comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar) • You have +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, 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
• 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. 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
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