Senior Fraud Data Analyst

Moniepoint Group; Poland; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Culture of inclusion

Learning & development

Competitive compensation

Job summary

Moniepoint Inc. is seeking a Data Analyst (Fraud) to join our growing analytics team in Poland. You will investigate fraud attacks, quantify impact, and present findings that drive prioritisation and response.

You will build dashboards, monitor fraud trends, and collaborate with fraud operations, data scientists, engineers, and product managers to translate insights into action. A proactive, results‑oriented mindset is essential.

Qualifications

• 5+ years of experience as Data Analyst (Fraud) or similar role.
• Strong problem solving skills.
• Advanced proficiency with SQL.
• Experience in fraud, risk or financial services.
• Proactive mindset and initiative.
• Exposure to Python or scripting.
• Proficiency with a BI tool (PowerBI/Looker/Tableau/Superset/Redash).
• Strong stakeholder management and communication skills.
• Ability to work in fast-paced cross-functional teams.
• Proficiency with Excel/Sheets.

Responsibilities

• Investigate fraud attacks, quantify impact, and present findings driving prioritisation and response.
• Propose and refine rule-based mitigations with fraud operations and engineering to implement.
• Build and maintain reporting and dashboards to monitor fraud trends and key metrics.
• Collaborate with fraud operations, data scientists, engineers, and product managers to translate insights into action.
• Proactively identify emerging patterns and flag risks before escalation.

Skills

SQL

Python

BI tools

Stakeholder management

Communication

Problem solving

Spreadsheets

Data interpretation

Fraud awareness

Autonomy

Education

Bachelor’s degree in Computer Science or related field

Tools

Git

Job description

Moniepoint Inc. is seeking a Data Analyst (Fraud) to join our growing analytics team in Poland. You will investigate fraud attacks, quantify impact, and present findings that drive prioritisation and response.

You will build dashboards, monitor fraud trends, and collaborate with fraud operations, data scientists, engineers, and product managers to translate insights into action. A proactive, results‑oriented mindset is essential.