• Maybe you’re a Product Manager working with a Data Science or Analytics team already or perhaps you’re a Data Scientist on the cusp of becoming a Product Manager or Owner, practically doing this job in all but title?
• In both cases this could be a really exciting role pushing the boundaries in Credit risk and reporting, in a company where progress and humility are valued as highly as technical excellence? At M-KOPA we use the latest technologies and tools to build fantastic customer experiences with a socially and environmentally conscious mission that echoes throughout the organisation.

Data Science

• As one of Africa’s leading fintech lenders, M-KOPA issues millions of micro-loans to our customers every year. Each of these loans is based on a rigorous credit risk assessment. Each of these loans needs to be authoritatively tracked. The results of that tracking is aggregated into M-KOPA’s management accounting systems, continuously stress-testing and re-forecasted. These core objectives are delivered and supported by our Analytics and Data Science (ML) teams.

Your application should include;

• Success working in a Product with ML and Analytics Engineers
• Successful collaborations with cross-functional team members
• Achievements when building B2C/B2B Products
• Experience delivering insights from a strong Analytical standpoint using modern data visualisation tools and methods