Moniepoint Inc. (Formerly TeamApt Inc.)
1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Payments
Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.
Data Analyst – Fraud
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🔥 9 minutes ago
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Moniepoint Inc. (Formerly TeamApt Inc.)
1001 - 5000 employees
💳 Fintech
🏦 Banking
Fintech • Banking • Payments
Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.
📋 Description
• 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
🎯 Requirements
• 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 • A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field • Experience with the following would be a plus • Data governance • Python or any other scripting language • Git or any other version control tool
🏖️ Benefits
• Culture - We put our people first and prioritise the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • 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.
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