Fraud Analyst - French Market

[OUR MISSION AND CUSTOMERS] We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.7 on Trustpilot, based on 60,000 reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here).

[OUR JOURNEY] Founded in 2016 and launched in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

[OUR BELIEFS] We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.

[AI AT QONTO] AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Join us as a Fraud Analyst to detect and prevent fraud and protect Qonto’s French market customers from scams. You’ll join our specialised Fraud team of about 7 people, where your work protects customers and Qonto from fraud-related risks and supports compliance as we grow. You’ll report to Anamaria Codorean-Termure, our Senior Team Lead Fraud.

➡️ What you’ll do

• Monitor transactions: You’ll analyse transactions to detect fraud patterns, focusing on scams, phishing and account takeover.

• Investigate and prevent: You’ll independently investigate complex fraud cases and put preventive measures in place across financing and payment products.

• Assess risk early: You’ll run risk assessments on new products and features and keep onboarding fraud prevention robust.

• Own projects: You’ll own medium-scale projects end to end, in line with the objectives set by your Lead.

• Strengthen detection with Risk and Security: You’ll work with both teams to improve fraud detection and align strategies.

➡️ What we’re looking for

• Fraud or AML experience: You’ve independently handled complex fraud or AML cases at senior level.

• Investigative mindset: You use evidence-based and creative thinking to detect patterns and solve complex cases.

• Clear communication: You’re confident talking with customers and counterparties, including in sensitive situations.

• Languages: You’re fluent in English and French, and Portuguese is a plus.

• AI-native learning mindset: You welcome feedback and use AI tools to keep sharpening how you work.

➡️ What we can offer you

• An established, specialised team: You’ll join a Fraud team with defined levels (L1–L3), documented processes and real operating rhythms.

• Real ownership: You own your caseload and your medium-scale projects.

• Breadth of casework: You’ll handle the full range of fraud, from private scams to social engineering and financing-product fraud.

• A say in how we scale: You’ll help shape our detection processes and tools as the team grows.

➡️ Your future manager

You’ll report to Anamaria Codorean-Termure, our Senior Team Lead Fraud. Anamaria has spent nearly 7 years at Qonto, growing from AML-CFT Analyst to leading the Fraud team across France, Spain and Portugal. She values agility, collaboration and a proactive approach to emerging threats, and she’ll support your ramp-up closely while trusting you to own your cases.

[DIVERSITY] At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick - who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

[HIRING PROCESS DURATION] On average, our hiring process lasts 20 working days. More information on our candidate journey here

[DATA RETENTION] By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.