Business Analyst – Fraud Prevention

Jit Team; Warszawa; Hybrid; PLN 140,000 - 190,000; Full time

Job summary

Jit Team in Warsaw, Poland is seeking an experienced Business Analyst – Fraud Prevention to support fraud detection and prevention within claims and benefits processes. You will collaborate with business stakeholders, data analysts, and IT teams to translate needs into effective system capabilities.

The role requires strong requirements gathering, documentation, and experience in fraud analytics, risk management, and AML concepts.

Qualifications

• 5+ years in Business Analyst roles or similar, focused on fraud prevention.
• Experience in insurance claims and benefits processes.
• Strong requirements gathering, analysis, and documentation skills.
• Experience facilitating workshops with business and technical stakeholders.
• Knowledge of AS-IS / TO-BE business process modeling.
• Experience creating User Stories, Epics, Acceptance Criteria, and functional specs.
• Knowledge of Agile methodologies (Scrum/Kanban).
• Understanding of fraud detection, investigation, and case management.
• Ability to define business rules and fraud detection scenarios.
• Working knowledge of SQL and UAT testing.

Responsibilities

• Translate business needs into effective system solutions for fraud prevention.
• Collaborate with stakeholders, operational teams, data analysts, and IT.
• Develop and enhance anti-fraud capabilities to identify suspicious patterns.
• Help define fraud detection scenarios and business rules.
• Create clear user stories, acceptance criteria, and functional specs.

Skills

Business analysis

Fraud prevention

Requirements gathering

Workshop facilitation

Stakeholder management

SQL

Documentation

Analytical thinking

Tools

Power BI

Tableau

SAS Fraud Management

FICO Falcon

Actimize

Guidewire

Job description

Remote: Hybrid (3 days in the office, 2 days remote per week)

Why choose this offer?

• Real impact on driving AI adoption and transforming the way IT teams work
• Hands-on experience with modern AI tools, agents, and workflow automation solutions
• Opportunity to shape AI adoption standards for a leading insurance company
• Collaboration with technical teams, business leaders, and fellow AI experts
• Work in an innovative environment focused on digital transformation and emerging technologies

Project

We are looking for an experienced Business Analyst – Fraud Prevention to support the development of solutions dedicated to fraud detection and prevention within claims and benefits processes.

In this role, you will work closely with business stakeholders, operational teams, fraud prevention experts, data analysts, and IT teams to identify business needs and translate them into effective system solutions. You will play a key role in building and enhancing anti-fraud capabilities, helping the organization identify suspicious patterns, mitigate risks, and improve operational efficiency.

This position is ideal for a professional with a strong background in business analysis, fraud management, and insurance claims processes.

Expected competences and knowledge

• 5+ years of experience as a Business Analyst, System Analyst, or in a similar role
• 3+ years of experience in fraud prevention, fraud analytics, risk management, or financial crime
• Experience within the insurance sector, particularly in claims and benefits processes
• Strong background in requirements gathering, analysis, and documentation
• Experience facilitating workshops and collaborating with business and technical stakeholders
• Knowledge of business process modeling (AS-IS / TO-BE)
• Experience creating User Stories, Epics, Acceptance Criteria, and functional specifications
• Knowledge of Agile methodologies (Scrum/Kanban)
• Understanding of fraud detection, investigation, and case management processes
• Ability to define business rules and fraud detection scenarios
• Working knowledge of SQL
• Experience with UAT and business testing
• Strong analytical, communication, and stakeholder management skills

Nice to have:

• Experience implementing or enhancing fraud management solutions
• Knowledge of platforms such as SAS Fraud Management, FICO Falcon, Actimize, Guidewire, or similar
• Experience with Power BI, Tableau, or other reporting tools
• Understanding of Machine Learning concepts in fraud detection
• Knowledge of AML processes and risk scoring methodologies
• Experience working in large insurance or financial services organizations