Data Analyst – Credit Eligibility (Remote)

Technology
Lagos State
November 30, 2025
Full Time

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Job Description

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.

We are recruiting to fill the following positions below:

Job Title: Data Analyst – Credit Eligibility

Location: Lagos (Remote)
Employment Type: Full-time

About the job

  • We are looking for an Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.
  • ”This role offers the opportunity to directly impact millions of customers’ access to credit by building underwriting frameworks.
  • You will be a member of a small team with the big responsibility of continuously improving M-KOPA’s loan offers and eligibility criteria in order to drive growth while managing credit losses and margins.
  • You’ll work cross-functionally with engineers, data scientists, other analysts, growth managers, and commercial stakeholders across multiple countries.”

Responsibilities
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:

  • 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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Note: 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.

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