Join Moniepoint Inc. as a Data Analyst - Fraud: Protecting Africa's Digital Economy

Are you a detail-oriented Data Analyst with a passion for combating financial fraud? Do you thrive in a fast-paced environment where your analytical insights directly contribute to the security and success of millions? Moniepoint Inc. invites you to join our innovative team as a Data Analyst specializing in Fraud, playing a crucial role in safeguarding Africa's rapidly digitizing economy.

Moniepoint is at the forefront of transforming Africa's real economy. As a leading financial technology company, we are committed to building a robust financial ecosystem for businesses, empowering them with comprehensive payment, banking, credit, and business management tools. Our mission is to ensure businesses have everything they need to flourish, and a key part of that is maintaining a secure and trustworthy platform.

What You Will Get To Do

Investigate fraud attacks thoroughly, quantifying their impact, and presenting clear, actionable findings to drive prioritization and effective response strategies.
Propose and refine sophisticated rule-based mitigations, collaborating closely with fraud operations and engineering teams to ensure seamless implementation.
Build and meticulously maintain essential reporting and dashboards to monitor evolving fraud trends, assess rule performance, and track key operational metrics.
Work hand-in-hand with fraud operations specialists, data scientists, engineers, and product managers, ensuring analytical insights are translated into tangible actions and impactful solutions.
Proactively identify emerging fraudulent patterns and flag potential risks, acting swiftly to prevent escalation and protect our ecosystem.

To Succeed In This Role, You Should Have

A Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Proven professional experience as a Data Analyst focusing on Fraud, or a similar analytical role, with 4+ years of experience (accomplishments can compensate for a slightly shorter tenure).
Demonstrably strong problem-solving skills, capable of dissecting complex issues and formulating effective solutions.
Advanced proficiency with SQL, confidently writing complex queries to investigate, segment, and analyze large datasets.
Direct experience in fraud, risk management, or financial services, coupled with a deep understanding of how fraud attacks operate and the nuances of mitigation trade-offs.
A proactive mindset – you are self-driven, spot anomalies, and instinctively dig deeper without needing to be prompted.
Some exposure to Python or other scripting languages for data manipulation and analytical tasks.
Proficiency with at least one leading Business Intelligence (BI) tool such as PowerBI, Looker, Tableau, Superset, Redash, or a similar alternative.
Strong stakeholder management skills, enabling clear communication of findings to fraud operations, product managers, engineers, and senior leadership, and the ability to influence data-driven decisions across all levels.
Comfort and adaptability when working in fast-paced, cross-functional teams where priorities can shift dynamically.
Proficiency with spreadsheet tools like Microsoft Excel or Google Sheets.
An enjoyment of autonomy and a flat organizational structure, recognizing that individual contributions can have an outsized impact on millions of customers.
Excellent written and verbal communication skills.
A continuous drive to learn and master new technologies and analytical techniques.

Experience With The Following Would Be A Plus

Data governance principles and practices.
Further proficiency in Python or any other scripting language.
Familiarity with Git or other version control tools.

If you are a talented Data Analyst eager to make a significant impact in the fight against financial fraud and contribute to the growth of Africa's digital economy, we encourage you to apply!

Method of Application:
Interested and qualified? Go to Moniepoint Inc. on job-boards.eu.greenhouse.io to apply