Senior Fraud Analytics & Insights Specialist

Moniepoint Group; Portugal; Presencial; EUR 42 000 - 60 000; Tempo integral

Resumo da oferta

Moniepoint Inc. is a fast-growing fintech-ecosystem player in Africa, seeking a Data Analyst (Fraud) to investigate attacks, quantify impact, and drive mitigations. You will build dashboards and collaborate with fraud ops, data scientists, and product managers to translate insights into action.

Ideal candidates bring 4+ years in fraud analytics, strong SQL, Python familiarity, and experience with BI tools. The role offers a dynamic, cross-functional environment with opportunities to influence

Qualificações

• 4+ years in Data Analyst (Fraud) or similar role.
• Strong problem solving skills.
• Proficient in SQL and data slicing across large datasets.
• Experience in fraud, risk, or financial services.
• Proactive mindset to identify unusual patterns.
• Some exposure to Python or scripting.
• Proficiency with a BI tool (PowerBI, Looker, Tableau, etc).
• Strong stakeholder management and data-driven communication.
• Comfort working in fast-paced, cross-functional teams.
• Proficient with Excel or Google Sheets.
• Bachelor’s degree in CS/Statistics/Math/Engineering or related field.

Responsabilidades

• Investigate fraud attacks, quantify impact, and present findings.
• Propose and refine rule-based mitigations with fraud ops and engineering.
• Build and maintain dashboards to monitor fraud trends and metrics.
• Collaborate with fraud ops, data scientists, engineers, and product managers to translate insights into action.
• Identify emerging patterns and flag risks before they elevate.

Conhecimentos

SQL

Python

BI tools

Fraud knowledge

Stakeholder mgmt

Communication skills

Excel

Data analysis

Formação académica

Bachelor's degree in CS/Statistics/Math/Engineering

Ferramentas

PowerBI

Looker

Tableau

Git

Descrição da oferta de emprego

Moniepoint Inc. is a fast-growing fintech-ecosystem player in Africa, seeking a Data Analyst (Fraud) to investigate attacks, quantify impact, and drive mitigations. You will build dashboards and collaborate with fraud ops, data scientists, and product managers to translate insights into action.

Ideal candidates bring 4+ years in fraud analytics, strong SQL, Python familiarity, and experience with BI tools. The role offers a dynamic, cross-functional environment with opportunities to influence