analytical work that drives our lending strategy. Our Credit Eligibility team operates with a high degree of autonomy — you'll work cross-functionally with engineers, data scientists, growth managers, and commercial stakeholders across multiple countries, bringing analytical rigour to decisions that shape both credit performance and customer outcomes. Analyse M-KOPA's repayments data and other data sources to continuously improve credit scorecards and eligibility criteria while managing credit risk Refine loan pricing based on credit analysis and customer behaviour Test new loan types to understand customer demand and credit performance Monitor credit performance to detect risk shifts and quantify margin impact Test the predictiveness of new data sets for eligibility criteria purposes Use Python, SQL, and other tools to drive data insights Work with data scientists to leverage machine learning models as part of loan eligibility decisions Your Technical Environment Languages & tools: Python, SQL, and other analytical tooling Data: Repayments data, customer behaviour data, third-party data sets Modelling: Risk modelling and statistical analysis across large, complex data sets Collaboration: Cross-functional work with engineers, data scientists, analysts, growth managers, and commercial stakeholders Context: Credit, underwriting, and lending analytics in emerging markets Our Team Approach Low-ego, high-impact: We foster
