Who we are Moniepoint is an all‐in‐one financial services platform for emerging markets and the second‐fastest growing company in Africa. Since 2019, Moniepoint's technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments) Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets Some exposure to Python or scripting for data manipulation and analysis Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)



you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership — and you know how to influence decisions with data across all of them. Comfort working in fast‐paced, cross‐functional teams where priorities shift quickly. Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative) A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field Data governance Python or any other scripting language Git or any other version control tool Learning - We have a learning and development‐focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation - You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. Technical take‐home task (SQL test). A behavioural interview with the Head of Data Analytics/Science and Fraud Team.

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