Note: The job is a remote job and is open to candidates in USA. Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. The Data Analyst - Fraud will investigate fraud attacks, propose mitigations, and build reporting tools to monitor fraud trends, collaborating with cross-functional teams to ensure effective risk management.
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
- Plus other benefits
- Learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks
- 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.
Company Overview