[Remote] Data Analyst - Fraud

Note: The job is a remote job and is open to candidates in USA. Moniepoint Inc. is Africa’s all-in-one financial platform, helping millions access seamless financial services. The Data Analyst - Fraud will investigate fraud attacks, propose mitigations, and collaborate with various teams to ensure that analytical insights lead to actionable outcomes.

Responsibilities

• 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

Skills

• 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
• Data governance
• Python or any other scripting language
• Git or any other version control tool

Benefits

• Pension
• Health insurance
• Annual bonus
• Learning and development-focused environment with emphasis on knowledge sharing, training, and regular internal technical talks
• Culture: prioritise the well-being of every team member; company where all opinions carry weight and where all voices are heard

Company Overview