• 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.

• 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