Fraud Product Owner

October 24, 2026

Hybrid

Senior

Paris, France

Indeed

Keep in mind

Original vacancy is in French
You will likely need French for the job. The employer can confirm

Description

A digital consulting and product engineering company is hiring a Senior Fraud Product Owner on a permanent contract to join the Security and Payment Security division of a major banking group. You will own the vision, development, and rollout of fraud detection, prevention, and control tools across all digital journeys and payment methods. You will work within a scaled agile organization, collaborating daily with developers, data scientists, security teams, and business stakeholders. This is a full-time, hybrid position.

Responsibilities

Define and lead the product vision for the fraud domain, shaping a strategic roadmap to address emerging threats while maintaining a smooth customer experience
Maximize value for security and business teams by translating fraud patterns and authentication rules into effective, high-performing features
Build and prioritize the product backlog, writing detailed user stories with acceptance criteria and real-time decision rules
Coordinate agile ceremonies and work daily with developers, data scientists, security teams, and the Scrum Master
Ensure compliance and security across customer journeys by incorporating banking regulations and strong customer authentication requirements
Manage detection performance KPIs, measure the effectiveness of anti-fraud tools, reduce false positives, and adjust product strategy
Lead the development and rollout of fraud detection, prevention, and control tools across all digital journeys and payment methods

Requirements

Master’s degree (Bac+5) from a business or engineering school, or a master’s degree in information systems management
5–8 years of experience as a Product Owner in banking or payments, focused on fraud prevention
Excellent knowledge of banking fraud mechanisms, including payment fraud, identity theft, and social engineering
Strong command of Scrum and SAFe agile methodologies, and Jira and Confluence
Familiarity with data and machine learning to understand predictive models and risk analysis rule engines
Strong leadership and communication skills to work with compliance, IT teams, and risk departments
Analytical mindset and attention to detail, with the ability to respond quickly to changing fraud patterns
Data analysis skills and the ability to make data-driven decisions