Data Analyst - Fraud
New
M
MoniepointFinancial Services
Remote, NigeriaFull-TimeMiddle
SalaryYou’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
Apply NowOpens the employer's application page
Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisMicrosoft ExcelRisk ManagementData visualizationGoogle Sheets
Requirements
- Proven experience as a Data Analyst (Fraud) or a similar role (4+ years, can be made up for with accomplishments)
- Advanced proficiency with SQL, including writing complex queries for large datasets
- Experience in fraud, risk, or financial services, with an understanding of attack vectors and mitigation trade-offs
- Proficiency with a BI tool (e.g., PowerBI, Looker, Tableau, Superset, Redash)
- Proficiency with a spreadsheet tool (e.g., Microsoft Excel or Google Sheets)
- Some exposure to Python or scripting for data manipulation and analysis
- Strong stakeholder management skills with the ability to influence decisions via data
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- Ability to work in fast-paced, cross-functional environments
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
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