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

📌 Data Analyst (España)
🏢 Moniepoint
📍 España