DATA ANALYST - CREDIT ELIGIBILITY AT M-KOPA NIGERIA (REMOTE)

About Company:

M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.

Job Description:

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.

Requirements:

Your application should demonstrate:

• Candidates should possess relevant qualifications.
• 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

Salary

Application Closing Date: Not specified

Application Instructions:

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