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The Impact:
- Your models will directly shape how millions of underserved customers access credit.
- M-KOPA has helped over 7 million customers access over $2 billion in credit.
- The company processes over 1.5 million payments daily.
The Opportunity:
- Build credit scoring and pricing models that expand financial access.
- Join a company named by TIME 100 as one of the world's most influential.
- Work with rich repayment datasets across 5 African markets.
Technical Environment:
- Languages & Libraries: Python, SQL, scikit-learn, pandas, numpy.
- Techniques: Predictive modelling, classification/regression, feature engineering.
- Domain: Credit scoring, underwriting, loan pricing, risk analytics.
Our Team Approach:
- Low-ego environment where diversity, innovation, and collaboration drive growth.
- High degree of ownership over your domain.
- Cross-functional collaboration with teams across multiple countries.
M-KOPA
M-KOPA provides financing for everyday essentials. They have served over 6 million customers and unlocked $1.5 billion in cumulative credit across Africa and have been recognized multiple times by the Financial Times and TIME100.