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  • Posted: Apr 20, 2026
    Deadline: Not specified
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  • We empower individuals with access to credit, simple payments solutions, high-yield investment opportunities and easy-to-use tools for personal financial management. Carbon is headquartered in Lagos, Nigeria. We are a global company of over 90 employees with operations in Nigeria, Ghana and Kenya

     

    Decisioning Analyst

    • Hiring! We are looking for a Decisioning Analyst who will work closely with Credit Risk, Collections, Sales and Engineering teams to refine and streamline decisioning flows.

    What You Will Do

    • Configure and maintain decisioning logic within primary systems, such as the Decision Engine and the Fraud Engine, to support new products and features and risk and collections strategies.
    • Ensure all system logic remains aligned with business goals and strategic objectives.
    • Leverage AI tools and outputs to automate decisioning workflows, ensuring predictive insights are seamlessly integrated into live production funnels.
    • Monitor decisioning flows and funnels to identify positive or negative deviations, spikes, or anomalies.
    • Rigorously analyze decisioning data to uncover opportunities for cost reduction and increased efficiency.

    What You Need:

    • 2+ years of experience in Business Intelligence, Credit Risk, Decisioning Systems, or Data Science in fintech, banking, or similar environments.
    • Demonstrated proficiency in performing complex data extraction, manipulation and navigating and querying large-scale data environments.
    • Familiarity with the application of AI tools and outputs within business workflows.
    • Solid understanding of credit decisioning systems and lending processes.
    • Demonstrated ability to interface with back-end data systems. Experience with automated decisioning platforms (e.g., Provenir, Taktile or equivalent) is a plus.

    Check how your CV matches this job

    Method of Application

    Interested and qualified? Go to Carbon Nigeria on docs.google.com to apply

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