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  • Posted: Nov 19, 2025
    Deadline: Not specified
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  • M-KOPA is the pioneer and global leader of Connected Asset Financing that offers millions of underbanked customers access to life-enhancing products. Our advanced connected asset financing platform combines digital micropayments and IoT connectivity to offer access to products including solar lighting, televisions, fridges, smartphones, financial services an...

     

    Product Analyst - Credit Eligibility

    In this role, you would be responsible for:

    • Analyzing M-KOPA's repayments data and other data sources to continuously improve our loan eligibility criteria while managing credit risk
    • Refining loan pricing based on credit analysis and customer behavior
    • Testing new types of loans to understand customer demand and credit performance
    • Monitoring credit performance to detect risk shifts and quantify margin impact
    • Testing the predictiveness of new data sets for the purposes of eligibility criteria
    • Using Python, SQL, and other tools for data analysis to drive insights
    • Working with data scientists to leverage machine learning models as part of loan eligibility decisions
    • This role can be remote or hybrid, but candidates must be located within our time zones (UTC -1 to UTC+3) to ensure effective collaboration with teams across our multiple locations.

    Your application should demonstrate:

    • Several years in roles with significant analytical components
    • Strong statistical modeling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data
    • Fluency in Python, SQL, and other relevant tools for data analysis
    • Experience translating complex data insights into actionable business strategies
    • Ability to work cross-functionally with product, engineering, and commercial teams
    • Strong data communication skills — written, oral, and visual
    • Strong interpersonal and collaboration skills
    • (Nice to have) Experience in credit, underwriting, or lending analytics

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to M-KOPA on jobs.ashbyhq.com to apply

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