Data Analyst – Fraud
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Job Description
Data Analyst investigating fraud attacks and collaborating with teams at Moniepoint. Utilizing SQL for data analysis in a fast-paced financial services environment.
Responsibilities:
- Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response
- Propose and refine rule-based mitigations
- Build and maintain reporting and dashboards to monitor fraud trends
- Work closely with fraud operations, data scientists, engineers, and product managers
- Proactively identify emerging patterns and flag risks before they escalate
Requirements:
- 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.
- Experience in fraud, risk, or financial services
- A proactive mindset
- 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
- Comfort working in fast-paced, cross-functional teams
- Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets)
- Enjoy autonomy and a flat structure
- 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.
Benefits:
- 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. Above all, we are human.
- Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
- Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
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