Senior Business Analyst (AML area)

emagine Polska is a company located in Warsaw, specializing in analytics roles with a focus on anti-fraud and risk management solutions in the insurance sector.

• Minimum 5 years' experience as a Business Analyst, System Analyst, or related role.
• At least 3 years' experience in fraud prevention, financial security, risk management, or fraud analytics.
• Practical experience in the insurance industry, especially in 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/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.
• Knowledge of Fraud Detection, Fraud Investigation, Case Management, and fraud alert handling.
• Skill in defining business rules and fraud detection scenarios.
• Proficient in SQL for data analysis and requirement verification.
• Experience preparing and executing business and User Acceptance Tests (UAT).
• Knowledge of data protection regulations (GDPR/RODO) and information security.
• Highly developed analytical, communication, and organizational skills.
• Experience in the insurance sector.

Nice to have:

• Experience with anti-fraud system projects.
• Knowledge of SAS Fraud Management, FICO Falcon, Actimize, Guidewire, EIS, or similar anti-fraud platforms.
• Experience analyzing behavioral and transactional data.
• Basic knowledge of Machine Learning used in fraud detection.
• Experience working with Power BI, Tableau, or other reporting tools.
• Knowledge of building risk scoring and business rule engines.
• Familiarity with AML concepts.
• Experience in transformation programs in large financial or insurance organizations.
• Experience with AI/ML-based fraud detection solutions.

• Gather, analyze, document, and manage business and functional requirements.
• Identify business needs related to anti-fraud and define requirements for anti-fraud solutions.
• 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 the requirements backlog in collaboration with the Product Owner.
• Define detection rules, risk scoring, and analytical mechanisms supporting fraud detection.
• Develop scenarios for detecting fraud in claims and benefits processes.
• Collaborate with data analysts to identify data sources and define 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 errors and recommend corrective actions.
• Cooperate 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 needing optimization and analyze effectiveness of fraud detection mechanisms.
• Monitor trends and new fraud schemes in the insurance market.

The data controller is emagine based in Warsaw, ul. Domaniewska 39A. Applicants have rights regarding their personal data, including access, rectification, deletion, processing restriction, objection, data portability, and complaint submission. Personal data is processed for recruitment purposes, with some data mandatory under labor law. Consent for additional data processing can be withdrawn at any time. Data will be kept until the recruitment process ends and potential claim periods expire. The applicant's data may be shared with Just Join IT and other entities involved in recruitment.