Business Analyst (Anti-Fraud) - hybrid from Warsaw

• Minimum 5 years of experience as a Business Analyst, Systems Analyst or in a closely related role.
• At least 3 years of focused experience in fraud prevention, financial security, risk management or fraud analytics.
• Practical experience in the insurance sector, particularly in claims and benefits processes.
• Proven experience in requirements elicitation, analysis, documentation and management.
• Experience conducting analytical workshops and reconciling requirements with business and technical stakeholders.
• Knowledge of business process modelling techniques.
• Proficiency in producing user stories, epics, acceptance criteria, requirement specifications and AS-IS/TO-BE process models.
• Experience working in Agile delivery environments (Scrum or Kanban).
• Ability to analyse data and derive requirements from identified fraud patterns and symptoms.
• Familiarity with fraud detection, fraud investigation, case management and alert handling processes.
• Ability to define business rules and detection scenarios for fraud identification.
• Practical SQL skills to support data analysis and requirements verification.
• Experience preparing and executing business and acceptance testing (UAT).
• Knowledge of data protection regulations (e.g., GDPR) and information security considerations.
• Strong analytical, communication and organisational skills.

Nice to have:

• Experience in projects involving implementation or development of anti-fraud systems.
• Familiarity with platforms such as SAS Fraud Management, FICO Falcon, Actimize, Guidewire, EIS or other anti-fraud solutions.
• Experience analysing behavioural and transactional data.
• Basic understanding of machine learning applied to fraud detection.
• Experience with reporting tools such as Power BI or Tableau.
• Knowledge of approaches to risk scoring and business rule engines.
• Familiarity with anti-money laundering (AML) topics.
• Experience in large-scale transformation programmes within financial or insurance organisations.
• Experience working with AI/ML solutions supporting fraud detection.

• Gather, analyse and document business and functional requirements related to fraud detection, investigation and case management.
• Facilitate analytical workshops and align requirements with business and technical stakeholders.
• Model current-state (AS-IS) and future-state (TO-BE) business processes and produce clear process documentation.
• Create and maintain user stories, epics, acceptance criteria and detailed requirement specifications.
• Define business rules and detection scenarios for fraud monitoring and alerting systems.
• Support data analysis to identify fraud patterns and translate findings into actionable requirements.
• Prepare and execute business tests and user acceptance tests (UAT) to validate solution behaviours.
• Collaborate with implementation teams in Agile frameworks (Scrum/Kanban) to ensure requirements are understood and delivered.
• Ensure compliance with data protection and information security requirements in solution design.

This is a hybrid collaboration model that requires presence in the Warsaw office for a minimum of three days a week.