Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What you will get to do - Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response - Propose and refine rule-based mitigations, working with fraud operations and engineering to see them through to implementation - 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 - Proactively identify emerging patterns and flag risks before they escalate To succeed in this role, you should have - Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments) - Strong problem solving skills - Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets - Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs - A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in - 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) - Strong stakeholder management skills; you can communicate findings clearly to fraud oper

📌 Data Analyst (España)
🏢 Moniepoint
📍 España