Fraud Prevention Business Owner

About the role

SEB bank is looking for a Fraud Prevention Business Owner to oversee the end-to-end management of fraud prevention products and processes, keeping them aligned with regulatory standards, business goals and emerging fraud trends. The role leads the continuous development of fraud detection capabilities and monitoring systems, supporting the security and reputation of the organization.

Key responsibilities

• Own the product lifecycle and related processes, ensuring holistic development and maintenance of fraud prevention capabilities
• Manage and contribute to the vision, strategy and roadmap, addressing evolving fraud vectors and monitoring relevant KPIs/KRIs
• Analyze fraud trends and data to identify gaps and improve fraud prevention models, rules and processes
• Ensure compliance with regulatory and governance requirements, including risk assessments
• Define and document as-is and to-be scenarios, user journeys, business rules, exceptions and operational procedures
• Act as a decision-maker on key fraud trends and turn them into detection strategies and requirements
• Contribute to model development, testing, implementation and performance monitoring
• Analyze large datasets to find patterns, trends and anomalies and support data-driven decisions
• Prepare training materials and run training sessions to build user competencies

Required profile

• University degree in finance, economics, business administration, data analytics, information technology or another relevant field
• Professional experience in fraud prevention within banking, financial services, risk management or a closely related area, with a strong understanding of fraud risks, financial services operations and the regulatory environment
• Expert knowledge of fraud prevention systems and processes, with strong analytical and problem-solving skills
• Advanced communication and presentation skills, able to work across organizational levels
• Proficiency in written and spoken English, as the role sits within a Baltic team setup

Required skills

• Strong data analytics skills, including large and complex datasets
• Understanding of machine learning principles, model development lifecycle, performance monitoring and model-related risks

What we offer

• Good work-life balance and a supportive, respectful culture
• Motivating compensation and benefits including health insurance and extra vacation days
• Extensive training and learning opportunities
• Opportunity to work remotely

Applications are accepted until 8 November 2026; the final offer depends on experience and competencies.