• 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!

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.

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

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