M-KOPA Accounting Jobs in Ghana
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M-KOPA is a mission-driven fintech company transforming lives across Africa by providing access to smartphones, digital loans, and essential services. Our work directly impacts over 23 million lives, enabling families to access education, grow businesses, and build financial resilience. As a carbon-negative company that has displaced over 2 million tonnes of carbon emissions, we're committed to creating sustainable impact.
JOB PURPOSE
- The role is akin to an analytical project manager, bridging credit experience, qualitative observations, economic and behavioral research and technical data analytics to answer key questions about M-KOPA’s credit portfolio. This role requires an ability to clearly identify a problem, scope an approach to understanding the problem, manage analytical workflow to answer the questions at hand, and clearly communicate actionable recommendations.
- Lead analysis, management and communications regarding credit performance of the company’s portfolio, customers, and products and services. This includes managing multi-source data analysis, designing experiments, testing hypotheses, and compiling presentations and reports used internally and by external stakeholders. The objective of the role is to provide actionable insights to understand and influence consumer credit behavior.
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WHAT YOU WILL NEED
- 6-10 years of work experience in an analytical field such as consumer credit, asset finance, pricing, data science, behavioural research, or strategy consulting, including experience managing teams, portfolios, and projects
- Credit, data, and financial analysis skills to effectively evaluate and report on key performance metrics
- Knowledge of lending business practices and consumer credit in emerging markets strongly preferred.
- Strong interpersonal and presentation skills to effectively communicate with colleagues and senior stakeholders
- Understanding of business concepts including ROI analysis, discounted cash flow, causality, & statistical significance
- Bachelors or Master’s degree preferably in a quantitative field, including economics, econometrics, data analytics, computer science, statistics, engineering, credit management, finance or behavioural psychology
- Proficiency in structuring analytical projects and familiarity with tools including SQL, R!, Python, PowerBI, Excel, PowerPoint, Word, as well as a clear understanding of statistics and quantitative methods and best practices
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