Responsibilities
- 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
Requirements
- 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
Benefits
- diverse development programs
- coaching partnerships
- on-the-job training
- family-friendly policies
- well-being
- flexibility
Work Arrangement
Hybrid
Team
Team size: small. Structure: newly established team
Additional Information
- Applications for this position will be reviewed on a rolling basis.
- Shortlisting and interviews will take place at any stage during the recruitment process.
- We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.
- M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.
