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.
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
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
Method of Application
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