Business Analyst (Anti-Fraud)

Quick Facts

• Role: Business Analyst (Anti-Fraud)

• Working model: Hybrid (3 days in the office, 2 days remotely)

Description

You will work in a strategic transformation program at the intersection of business and technology to build a data- and automation-driven anti-fraud ecosystem for insurance claims and benefits. You are responsible for identifying, analyzing, defining, documenting, and verifying business and functional requirements for solutions that detect and prevent fraud. You will translate business needs into IT requirements, define detection rule scenarios and acceptance criteria, and support business testing and UAT.

Responsibilities

• Analyze and manage business and functional requirements related to anti-fraud

• Run analytical workshops with business and fraud experts

• Model business processes (AS-IS and TO-BE)

• Create User Stories, Epics, and Acceptance Criteria

• Manage the requirements backlog with the Product Owner

• Define requirements for detection rules, scoring, and analytics mechanisms

• Collaborate on processes for handling fraud alerts and fraud cases

• Develop fraud detection scenarios for claims handling processes

• Work with data analysts on data sources and risk indicators

• Support integration design between business systems and anti-fraud systems

• Prepare test scenarios and test cases; organize business and acceptance testing (UAT)

• Verify delivered solutions against requirements and support business stakeholders during acceptance

• Analyze defects and recommend corrective actions

• Coordinate with fraud prevention experts, claims/benefits teams, Product Owners, architects, data analysts, developers, security/compliance/audit

• Prepare analytical materials and presentations for management and business owners

• Improve anti-fraud processes by analyzing effectiveness of rules and mechanisms and tracking new fraud trends

Requirements

• Minimum 5 years of experience as a Business Analyst, Systems Analyst, or related role

• Minimum 3 years of experience in fraud prevention, financial security, risk management, or fraud analytics

• Practical insurance industry experience, especially claims and benefits processes

• Experience gathering, analyzing, documenting, and managing business and functional requirements

• Experience running analytical workshops and aligning requirements with business and technical stakeholders

• Knowledge of business process modeling methods

• Experience creating User Stories, Epics, Acceptance Criteria, Requirements Specifications, and AS-IS/TO-BE process models

• Experience in Agile projects (Scrum/Kanban)

• Ability to analyze data and define requirements based on identified fraud patterns and symptoms

• Knowledge of Fraud Detection, Fraud Investigation, Case Management, and fraud alert handling

• Ability to define business rules and fraud detection scenarios

• SQL proficiency for data analysis and requirements verification

• Ability to prepare and conduct business testing and acceptance testing (UAT)

• Knowledge of GDPR/RODO and information security topics

• Strong analytical, communication, and organizational skills

Benefits

• Strategic, high-impact role working on one of the most important development programs for the organization

• Opportunity to influence the future of customer service and modern technology in the insurance industry