Join our Credit Eligibility team at M-KOPA
We're growing our Credit Eligibility team and looking for a Senior Analyst to help shape M-KOPA's credit risk and eligibility decisions for millions of people across Africa. Your analysis will directly influence who gets a loan, on what terms, and how we manage risk at scale - work that sits at the intersection of financial inclusion and rigorous data science.
The Impact
Your analysis will determine who gets access to credit - and for most of our customers, that access is transformational. We've already unlocked more than $2 billion in credit to over 7 million customers across five African markets. 55% of our customers are accessing a financial product for the first time through M-KOPA. 86% report an improvement in their quality of life. Every model you refine, every eligibility criterion you improve, contributes to that. It's your chance to be part of something that's literally transforming lives across an entire continent
The Opportunity
Mission-driven analytics: Your daily work - building underwriting frameworks, refining loan pricing, monitoring credit performance - directly determines who gets access to affordable credit across Kenya, Uganda, Nigeria, Ghana, and South Africa.
Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for four consecutive years (2022–2025).
Scale challenges: We process over 2 million payments daily and add 200,000 new customers every month. You'll be working with repayment data at a scale very few analysts ever encounter.
Environmental impact: We're carbon-negative, having avoided over 2.1 million tonnes of CO₂ emissions - and growing sustainably is core to how we operate.
What You'll Do
At M-KOPA, you'll own the analytical work that drives our lending strategy. Our Credit Eligibility team operates with a high degree of autonomy — you'll work cross-functionally with engineers, data scientists, growth managers, and commercial stakeholders across multiple countries, bringing analytical rigour to decisions that shape both credit performance and customer outcomes.
Analyse M-KOPA's repayments data and other data sources to continuously improve credit scorecards and eligibility criteria while managing credit risk
Refine loan pricing based on credit analysis and customer behaviour
Test new loan types to understand customer demand and credit performance
Monitor credit performance to detect risk shifts and quantify margin impact
Test the predictiveness of new data sets for eligibility criteria purposes
Use Python, SQL, and other tools to drive data insights
Work with data scientists to leverage machine learning models as part of loan eligibility decisions
Your Technical Environment
Languages & tools: Python, SQL, and other analytical tooling
Data: Repayments data, customer behaviour data, third-party data sets
Modelling: Risk modelling and statistical analysis across large, complex data sets
Collaboration: Cross-functional work with engineers, data scientists, analysts, growth managers, and commercial stakeholders
Context: Credit, underwriting, and lending analytics in emerging markets
Our Team Approach
Low-ego, high-impact: We foster a collaborative environment where diversity, innovation, and rigour drive both commercial growth and social impact
Data-driven decision-making: You'll be empowered to make the case for prioritisation and own the analysis that shapes lending strategy
Ownership: You'll have a high degree of ownership over your domain - and the responsibility that comes with it
Ambiguous problems welcome: We look for people who thrive when the problem isn't fully defined yet
Newly established, fast-expanding: You'll be joining at a formative moment for our credit and underwriting capabilities
What You Need
We're looking for someone with experience in roles with significant analytical components who is ready to take real ownership of credit and eligibility decisions at scale.
Required experience:
Strong statistical modelling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data
Experience in credit, underwriting, or lending analytics
Fluency in Python, SQL, and other relevant analytical tools
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
Location & Benefits
Fully remote role within UTC -1 to UTC +3 time zones
Work with diverse teams across UK, Europe, and Africa
Professional development programmes and coaching partnerships
Family-friendly policies and flexible working arrangements
Well-being support and career growth opportunities
Our Mission
We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low-income communities.
Our Impact
Our technology has created measurable change:
Connected : 2.5 million first-time smartphone users connected
Prosperous : 70% of customers use M-KOPA products for income generation, with 35,000 livelihoods created for agents
Green : 2.1 million tonnes of CO₂ avoided through clean energy products, with over 127,700 circular economy products provided
Ready to build credit systems that create real-world financial inclusion while advancing your career in data and analytics?
Apply now.
At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.
Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.
Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026) and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 7 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Important Notice
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.
If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.
