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 4.8 on Trustpilot, based on 55,000+ 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 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 Team Lead, Sanctions Screening to lead 6 financial crime analysts, responsible for processing sanctions alerts, hitting regulatory deadlines, and building the operating rigor this function needs, as part of a broader restructuring of our sanctions organization following Qonto's ACPR mission.
➡️ What you'll do
Manage a production team's backlog and alert volumes, ensuring processing deadlines are consistently met without compromising decision quality.
Prioritize daily workload across the team, spot inconsistencies in case handling, and adjust before they become bottlenecks.
Run team rituals and weekly one-to-ones, providing the structure and day-to-day direction the team needs to operate with cohesion.
Produce regular reporting on alert volumes, backlog, and screening incidents for internal stakeholders and authorities.
Contribute operational feedback to migration and treatment-optimization projects, including AI integration.
Cross-Team Collaboration: Partner with AML, Fraud to ensure alignment and knowledge sharing;
Risk Escalation Management: Oversee the investigation of escalations from the transaction monitoring team and ensure timely resolution.
➡️ What we're looking for
Experience: You have at least 5 years of experience in AML, Anti-Financial Crime, or Compliance, preferably within a Fintech or banking industry, with at least 1 years in a leadership role;
Management Skills: You have proven experience managing, mentoring, and developing team members, with the ability to drive performance while maintaining morale;
Analytical Excellence: You have a logical mind capable of analyzing complex datasets, identifying patterns, and conducting thorough investigations of sophisticated financial crime schemes;
Quality Focus: You have demonstrated ability to deliver and validate high standards of quality across multiple cases and team members;
Regulatory Knowledge: You have deep understanding of AML/CFT regulations, suspicious transaction reporting requirements, and experience working with financial intelligence units;
Leadership & Collaboration: You thrive in leading teams within a collaborative environment and can work effectively across multicultural teams to address complex compliance challenges;
Language: You have native french and are fluent in English.
➡️ What we can offer you
Leadership Opportunity: Build and lead a high-performing team in a critical function for Qonto's French market;
Dynamic Growth Environment: Work in a fast-paced, scaling fintech environment with significant strategic impact;
Team Context: Lead a strategic team that values quality, depth of analysis, and continuous learning;
Collaborative Culture: Join a supportive environment that encourages innovation, with great managers who value curiosity and development;
Methodology: Work with advanced tools and processes unique to Qonto, leveraging continuous improvement frameworks;
Exposure to AI-driven treatment-optimization and migration projects, with real operational input even though you won't own these initiatives directly.