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
  

• 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