Job Summary
Strong statistical modeling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data
Job Description/Requirements
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
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