This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Business Analyst, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6-8 years of experience, a growth mindset and a drive to make a lasting impact.
Job Responsibility:
Analyze, refine, and document business requirements to enable advanced fraud prevention and detection capabilities
Lead the design of technical solutions that address fraud risks while ensuring scalability, reliability, security, and performance
Collaborate with business stakeholders, product owners, and engineering teams to ensure solutions meet both business objectives and technical standards
Develop comprehensive documentation, including business requirements, functional specifications, and process flows for implementation teams
Support and guide the solution development lifecycle, ensuring adherence to industry standards and regulatory requirements
Facilitate requirement workshops, stakeholder discussions, and solution reviews
Work within Agile environments and actively participate in sprint planning, backlog grooming, and delivery reviews
Mentor and coach junior team members to encourage knowledge sharing, innovation, and continuous improvement in fraud solution design
Requirements:
6–8 years of experience as a Business Analyst
Experience in fraud prevention, financial services, or risk management domains
Strong analytical and problem-solving skills
Experience in designing end-to-end technical solutions
Excellent stakeholder management and communication skills
Strong understanding of fraud prevention frameworks, industry best practices, and regulatory requirements
Demonstrated leadership and mentoring experience
Hands-on experience working in Agile environments, with knowledge of Scrum or Kanban methodologies
Nice to have:
Hands-on experience implementing advanced fraud detection technologies, such as machine learning models or AI-driven analytics
Excellent background in data analytics, including designing and optimizing reporting solutions for large-scale financial datasets
Deep understanding of global financial regulations, with practical experience integrating compliance requirements into technical solutions
Comfortable working with cloud platforms, APIs, and modern data architectures in fast-paced, dynamic environments
What we offer:
Flexibility, with hybrid work options (country-dependent)
Learning and development, with access to cutting-edge tools, training and industry experts