Data Analyst – Fraud

About the role

Moniepoint is looking for a Data Analyst specialized in fraud to investigate attacks, quantify their impact and turn insights into actionable mitigation strategies. You will work closely with fraud operations, engineers and product managers to build robust reporting and drive continuous improvement.

Key responsibilities

• Investigate fraud attacks, quantify impact and present clear findings.
• Propose, refine and implement rule‑based mitigations in partnership with engineering.
• Build and maintain dashboards and reports to monitor fraud trends, rule performance and operational metrics.
• Collaborate with fraud ops, data scientists, engineers and product managers to ensure insights translate into action.
• Identify emerging patterns early and flag risks before they escalate.

Required profile

• 4+ years of experience as a Data Analyst (Fraud) or a similar role.
• Strong problem‑solving abilities and a proactive mindset.
• Advanced proficiency in SQL for complex data queries.
• Experience in fraud, risk or financial services.
• Exposure to Python or other scripting languages for data manipulation.
• Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, etc.).
• Excellent stakeholder management and communication skills.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering or related field.

Required skills

• SQL
• Python (or other scripting language)
• PowerBI
• Looker
• Tableau
• Superset
• Redash
• Microsoft Excel or Google Sheets
• Git (optional)

What we offer

• A people‑first culture that values well‑being, autonomy and flat hierarchy.
• Opportunity to have an outsized impact on millions of customers.
• Continuous learning environment with exposure to cutting‑edge fintech technologies.