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Senior Senior Data Scientist (Credit) at Moniepoint Inc.

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Employment type not specifiedExperience not specifiedNigeria
Company not specifiedNigeria

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  • Posted: Jul 23, 2026

    Deadline: Not specified

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    Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.

    Senior Senior Data Scientist (Credit)

    About the Role

    • We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale.
    • You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.
    • This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers.
    • You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers.
    • You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers.
    • Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance.

    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

    We would love to hear from you if…

    • 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.

    What to expect in the hiring process

    • A preliminary phone call with the recruiter.
    • A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms).
    • A take-home assignment.
    • A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth.
    • A behavioural and technical interview with the hiring manager.

    What we can offer you

    • 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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    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Moniepoint Inc. on job-boards.eu.greenhouse.io to apply

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Average Salary at Moniepoint Inc.

₦ 142K from 9 employees

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1 200 000 ₦

Based on 56 offers with salary for this country

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