Senior Data Scientist – Credit Modeling
About M-Kopa
M-KOPA was founded in 2010 on the idea that combining digital micropayments with GSM connectivity could provide affordable access to life-enhancing products. Since then, we’ve built a financial platform that has deployed over $1.5 billion in credit and enabled over 5 million customers across five countries - Kenya, Uganda, Nigeria, Ghana and South Africa - to own quality smartphones, access digital services and progress towards their financial goals.
Description
Qualifications
In this role, you would be responsible for:
Building and refining credit scoring models to assess customer creditworthiness and default risk
Analyzing M-KOPA’s repayments data and other data sources to continuously improve our loan eligibility criteria while managing credit risk
Developing machine learning models for loan eligibility decisions and pricing optimization
Refining loan pricing based on credit analysis, predictive modeling, and customer behavior
Testing new types of loans to understand customer demand and credit performance through A/B testing and statistical analysis
Monitoring credit performance to detect risk shifts and quantify margin impact using advanced analytics
Testing the predictiveness of new data sets and feature engineering for enhanced model performance
Using Python, SQL, and other tools for data analysis and model development
Collaborating with data scientists to implement and scale machine learning models in production
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 of experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems
Strong machine learning background with experience in model development, validation, and deployment
Advanced statistical modeling and quantitative analysis skills, including experience with model evaluation metrics and performance monitoring
Proficiency in Python, SQL, and relevant ML libraries (scikit-learn, pandas, numpy, etc.)
Experience with feature engineering, model selection, and hyperparameter tuning
Experience translating complex model outputs into actionable business strategies and stakeholder communications
Ability to work cross-functionally with product, engineering, and commercial teams
Strong data communication skills — written, oral, and visual
Strong interpersonal and collaboration skills
(Highly desirable) Experience in credit, underwriting, lending analytics, or fintech modeling
Credit accessibility and affordability are at the core of this role. You’ll join a small, high‑performing team where every day brings new modeling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we’d love to hear from you.
If the above is of interest to you, please apply.