If you're a Senior Product Manager working with a Data Science or Analytics team already 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.

We foster a very low-ego environment at M-KOPA, a place where diversity, innovation and collaboration sit comfortably with commercial growth and social impact. The team prizes psychological safety above all. We have a Discovery first approach. Meaning you get to make very clear cases for prioritisation of the solutions we develop.

Recognised twice by the Financial Times as one Africa's fastest growing company (2022 and 2023) and by the TIME100 Most influential companies in the world 2023 , we've served over 3 million customers, unlocking $1 billion in cumulative credit for the unbanked across Africa.

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

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

***If you can code, Python, R or SQL, et al, then all the better***