This position is based in Rennes, France.

IDnow is hiring a Product Data Analyst in Rennes to strengthen fraud detection and prevention across our onboarding and transaction journeys. Your role: analyze complex data, identify anomalies, and deliver actionable insights to improve our anti-fraud capabilities.

Key Responsibilities

• Analyze data (transactions, onboarding, behaviors) to detect anomalies, trends, and fraud patterns
• Conduct investigations into suspicious activity, gather evidence, and document findings
• Contribute to improving detection rules/models (testing, iterations, market/technology watch)
• Produce and present clear reports to a variety of audiences
• Collaborate with Fraud, Compliance, Ops, Legal, and Product teams

Preferred Experience

• Comfortable with data analysis and problem-solving
• Strong command of SQL and/or Python (Elasticsearch or BI tools are a plus)
• Curious, rigorous, team player
• Professional English required (French appreciated)
• Interest in fraud / identity / AML topics is a strong plus

Perks & Benefits

• Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
• We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
• We make your remote work comfy: we provide support on equipment and offer flexible working hours.
• We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
• May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
• Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
• In addition to the perks & benefits above, we offer specific benefits that differ between our locations.

IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.