Moniepoint is a leading African fintech company providing digital financial solutions to businesses and individuals. Originally launched as TeamApt in 2015, the company has grown into a unicorn valued at over $1 billion, serving over 10 million customers across Nigeria.
Through its robust platform, Moniepoint offers business banking, payment solutions, working capital loans, and personal financial services like savings, transfers, and debit cards. With a network of 600,000+ agents and over 1 billion monthly transactions, Moniepoint is building financial infrastructure that powers small businesses and everyday life.
Recognized as one of Africa’s fastest-growing companies by the Financial Times, Moniepoint is driven by values like grit, integrity, and empathy—and is expanding globally to drive financial inclusion at scale.
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
- A Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.
- 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 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)
- Enjoy autonomy and a flat structure: we have millions of customers and a flat hierarchy so any individual can have an outsized impact
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques.
Experience with the following would be a plus:
- Data governance
- Python or any other scripting language
- Git or any other version control tool.