Business Analyst – Fraud Prevention

For over 80 years, our client has been a reliable and trusted insight partner for the world's biggest companies and leading brands. They provide prescriptive data analytics powered by innovative technology. The client is headquartered in Germany with a presence in around 60 countries and approximately 9,000 employees worldwide. Jit Team is a Polish company employing over 770 experienced IT experts, offering developmental projects and supporting charitable and educational initiatives.

• Minimum 5 years of experience as a Business Analyst, System Analyst, or similar role.
• At least 3 years of experience in fraud prevention, fraud analytics, risk management, or financial crime.
• Experience in the insurance sector, especially claims and benefits processes.
• Strong skills in requirements gathering, analysis, documentation, and management.
• Ability to facilitate workshops and collaborate with business and technical stakeholders.
• Knowledge of business process modeling.
• Experience creating User Stories, Epics, Acceptance Criteria, and functional specifications.
• Familiarity with Agile methodologies (Scrum/Kanban).
• Understanding of fraud detection, investigation, case management, and fraud alert handling.
• Ability to define business rules and fraud detection scenarios.
• Working knowledge of SQL.
• Experience with UAT and business testing.
• Knowledge of data protection regulations (RODO) and information security.
• Strong analytical, communication, and organizational skills.

Nice to have:

• Experience implementing or enhancing fraud management solutions.
• Knowledge of platforms such as SAS Fraud Management, FICO Falcon, Actimize, Guidewire, or similar.
• Experience with Power BI, Tableau, or other reporting tools.
• Understanding of Machine Learning concepts in fraud detection.
• Knowledge of AML processes and risk scoring methodologies.
• Experience working in large insurance or financial services organizations.
• Experience with AI/ML solutions supporting fraud detection.

• Identify, analyze, define, document, and verify business and functional requirements for fraud detection and prevention solutions.
• Collaborate with business stakeholders, operational teams, fraud prevention experts, data analysts, and IT teams.
• Translate business needs into IT system requirements.
• Create detection scenarios and business rules.
• Define acceptance criteria.
• Support business testing and user acceptance testing (UAT).
• Facilitate workshops and align requirements with business and technical stakeholders.
• Model business processes (AS-IS and TO-BE).
• Create User Stories, Epics, and functional specifications.

Deadline for application: October 2, 2026, 12:00. Contract period: November 1, 2026 to March 31, 2028 (352 man-days). Hybrid work setup: 3 days in office, 2 days remote per week.