Senior Business Analyst @ Moondigo Sp. z o.o.

• Minimum 5 years of experience as a Business Analyst, System Analyst, or in a related role.
• At least 3 years of experience in the area of anti-fraud, fraud detection, risk management, or fraud analytics.
• Practical knowledge of the insurance industry, especially claims handling and benefits processing.
• Experience in comprehensive management of business and functional requirements - from acquisition, through analysis and documentation, to verification of implementation.
• Ability to conduct workshops, gather needs, and coordinate solutions with various stakeholder groups.
• Knowledge of business process modeling techniques and experience in creating AS-IS and TO-BE models.
• Practical ability to prepare User Stories, acceptance criteria, and requirements specifications.
• Experience in projects carried out using Agile methodologies, such as Scrum or Kanban.
• Knowledge of processes related to fraud detection, conducting fraud investigations, alert handling, and case management.
• Ability to define business rules, detection scenarios, and requirements for risk assessment mechanisms.
• Ability to analyze data and identify patterns and irregularities that may indicate fraud.
• Knowledge of SQL to a level enabling independent data analysis and verification.
• Experience in preparing and conducting business tests and User Acceptance Tests (UAT).
• Knowledge of personal data protection regulations (GDPR) and basic information security principles.
• High analytical competencies, problem-solving skills, and effective communication with business and technical teams.

Nice to have:

• Participation in projects related to the implementation or development of anti-fraud systems.
• Knowledge of platforms supporting fraud detection, such as SAS Fraud Management, FICO Falcon, Actimize, Guidewire, EIS, or similar.
• Experience in analyzing behavioral and transactional data.
• Basic knowledge of Machine Learning and its application in fraud detection.
• Familiarity with reporting and analytical tools, e.g., Power BI or Tableau.
• Practical knowledge of solutions using AI/ML to identify and prevent fraud.

For our client from the insurance industry, we are looking for a Senior Business Analyst to join a strategic transformation project related to the development of modern solutions supporting claims and benefits handling and combating insurance fraud.

The person in this role will be responsible for analyzing and defining business and functional requirements for anti-fraud systems, collaborating with fraud experts, business and IT teams, as well as supporting the implementation and testing of new solutions.

We offer:

• Opportunity to participate in a large-scale strategic transformation project.
• Work at the intersection of business, data analytics, and modern technologies.
• Hybrid model: 3 days a week from the office in Warsaw, 2 days remotely
• Employment based on a B2B contract with LuxMed medical care and a MultiSport card

Recruitment process:

• HR Interview - 20 minutes
• Client Meeting - 1 hour

, [Collecting, analyzing, and documenting business and functional requirements for solutions supporting the detection and prevention of insurance fraud., Conducting analytical workshops with business stakeholders, fraud experts, and technical teams., Modeling and optimizing business processes in an AS-IS / TO-BE approach., Preparing User Stories, acceptance criteria, and requirements specifications., Collaborating with the Product Owner on backlog management and prioritization., Defining fraud detection scenarios, business rules, risk indicators, and requirements for scoring mechanisms., Analyzing claims and benefits handling processes to identify potential fraud., Collaborating with data analysts to define data sources, identify fraud patterns, and define risk indicators., Participating in the design of integrations between business systems and anti-fraud solutions., Preparing test scenarios, organizing and conducting business tests and UAT., Verifying the compliance of implemented solutions with requirements, analyzing errors, and supporting users during acceptance., Collaborating with development teams, architects, data analysts, security, compliance, and audit experts., Identifying opportunities to improve fraud detection processes and analyzing the effectiveness of implemented detection mechanisms., Preparing analytical documentation, reports, and presentations for business stakeholders and management.] Requirements: User stories, SQL, Jira, UML, BPMN, Business analysis, Stakeholder management, SAS, Machine learning, Power BI, AI Tools: . Additionally: Sport subscription, Private healthcare.