Senior Business Analyst (AML area)

This position is for a strategic transformation program in the insurance sector, focusing on anti-fraud solutions in claims and benefits processes. The role involves collaboration with business stakeholders, fraud experts, operational teams, data analysts, and IT teams in a hybrid work model based in Warsaw.

• Minimum 5 years of experience as a Business Analyst, System Analyst, or related role.
• Minimum 3 years of experience in fraud prevention, financial security, risk management, or fraud analytics.
• Practical experience in the insurance industry, specifically claims and benefits processes.
• Experience in gathering, analyzing, documenting, and managing business and functional requirements.
• Experience conducting analytical workshops and aligning requirements with business and technical stakeholders.
• Knowledge of business process modeling methods.
• Experience creating User Stories, Epics, Acceptance Criteria, requirement specifications, and AS-IS and TO-BE process models.
• Experience working in Agile methodologies (Scrum, Kanban).
• Ability to analyze data and formulate requirements based on identified fraud patterns and symptoms.
• Familiarity with Fraud Detection, Fraud Investigation, Case Management, and alert handling.
• Ability to define business rules and fraud detection scenarios.
• Knowledge of SQL for data analysis and requirements verification.
• Experience preparing and conducting business and UAT testing.
• Knowledge of data protection regulations (RODO) and information security topics.
• Highly developed analytical, communication, and organizational skills.
• Experience in the insurance sector.

• Collect, analyze, document, and manage business and functional requirements.
• Identify business needs related to fraud prevention and define anti-fraud solution requirements.
• Conduct workshops with business stakeholders, fraud experts, and technical teams.
• Model AS-IS and TO-BE business processes.
• Prepare User Stories, Epics, Acceptance Criteria, and requirement specifications.
• Manage requirements backlog in cooperation with the Product Owner.
• Define detection rules, risk scoring, and analytical mechanisms for fraud detection.
• Develop scenarios for fraud detection in claims and benefits processes.
• Collaborate with data analysts on identifying data sources and risk indicators.
• Participate in designing integrations between business and anti-fraud systems.
• Prepare test scenarios and test cases.
• Organize and conduct business and user acceptance testing (UAT).
• Verify solution compliance with requirements and support users during acceptance.
• Analyze defects and recommend corrective actions.
• Collaborate with fraud prevention experts, claims teams, architects, Product Owners, data analysts, developers, and security, compliance, and audit teams.
• Prepare analytical materials and presentations for management and business owners.
• Identify areas for optimization and analyze effectiveness of fraud detection mechanisms.
• Monitor market fraud trends and emerging schemes.

Model współpracy: hybrydowy (3 dni w tygodniu praca z biura w Warszawie). Forma współpracy: kontrakt B2B. Język: płynny polski do codziennej komunikacji.