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About the Organisation
Data Analyst – Credit Eligibility job at M-KOPA | Apply Now
Kampala, Uganda
M-KOPA, established in 2010, is a London-based fintech company operating in Kenya, Uganda, Nigeria, Ghana, and South Africa. Its mission is to provide affordable access to essential products and services through innovative financing models, combining digital micropayments with GSM connectivity. M-KOPA has earned recognition for its impact, including being listed in the Financial Times' "Africa's Fastest Growing Companies" rankings in 2022, 2023, and 2024, and being named in the TIME100 Most Influential Companies list in 2023 and 2024.
The company fosters a dynamic work culture that emphasizes innovation and employee growth, offering opportunities across various departments. As of 2024, M-KOPA has extended over $1.5 billion in credit to more than 5 million customers and employs over 3,000 staff members, with 30,000 sales agents across its markets. Its business model focuses on accessible financing for smartphones and digital services, utilizing daily repayment plans that align with customers' income patterns. M-KOPA's core values include customer-centricity, innovation, and financial inclusion.
The company actively engages in corporate social responsibility initiatives aimed at empowering underserved communities. For more information, visit their official website at www.m-kopa.com.
Are you looking for data analysis jobs in Uganda 2025 today? then you might be interested in Data Analyst – Credit Eligibility job at M-KOPA
Full Time
Deadline:
10 Dec 2025
Job Title
Data Analyst – Credit Eligibility job at M-KOPA
M-KOPA
Job Description
Job Title: Data Analyst – Credit Eligibility
Organisation: M-KOPA
Duty Station: Kampala, Uganda
Job Summary: 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.”
You’ll be joining a newly established team that’s rapidly expanding our credit and underwriting capabilities. We are looking for someone who loves analyzing complex data and solving challenging, ambiguous data problems — if that sounds like you, you might be a fit!
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
If you are ready to make a difference and drive financial excellence in a dynamic and innovative environment, we want to hear from you!
Applications are managed via the AfriCareers Jobs Portal:
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Click the Apply button below
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New users: Select Create Profile and complete the Profile Creation Wizard
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Existing users: Log in and update your profile if needed
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Go to the "Jobs" tab
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Read the detailed job description, Roles and Qualifications.
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Submit your application via the jobs portal
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Track progress under "My Applications" tab
Important Note: Employers now hire directly on the AfriCareers New Jobs Portal — keep your profile updated so employers can easily view your CV and hire you instantly.
How to Apply
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.
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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
