- Location
- Paris
- Workplace
- Onsite
- Type
- Full-time
- Department
- Corporate & Middle Office
- Seniority
- Manager
- Experience
- 3+ years
- Source
- Lever
Description
Our mission and customers
Our platform simplifies banking and finance management for SMEs today, so that they can build their tomorrow. We offer a finance management platform with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 53,000+ reviews.
Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75. This level of satisfaction is far above typical traditional banking scores, often ranging from 3 to 12, sometimes even lower.
Our journey
Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000 customers across 8 European countries: France, Germany, Italy, Spain, Portugal, Austria, Belgium, and the Netherlands. We have been profitable since 2023, and we are just getting started as we want to become the indisputable European leader in SME finance management.
Our beliefs
We hire for skills and potential. With 80+ nationalities, 45% women, and 56% of women in our leadership team, diversity is simply part of who we are.
We've built a discrimination-free hiring process because we believe the best teams are built on merit.
AI at Qonto
We see AI as a catalyst for our success.
We always choose thinking over routine. That's why AI is already deeply embedded in how we work - not as a trend, but as a way to raise the bar for the entrepreneurs who count on us. That is why we grant our Qontoers unlimited access to the best AI tools on the market - Claude Code, Cursor, Copilot, Dust, and Notion AI.
We want people who experiment without waiting for permission. Who push AI beyond the obvious. Who know when to trust it and, more importantly, when to question it.
Already pushing AI limits? You'll fit right in.
⭐ Mission
Join us as a Quantitative Risk Analyst and become the cornerstone of our model risk management strategy. You will join the Risk function, acting as the second line of defense to ensure our statistical models—from fraud detection to credit risk—are robust, compliant, and scalable as we operate under our Credit Institution license.
👩💻🧑💻 As a Quantitative Risk Analyst at Qonto, you will
• Act as the second line of defense: You will implement the model risk policy, inventory all models within Qonto, and assess their risk to ensure every model follows internal policy and regulation.
• Conduct independent reviews: You will perform independent audits of modeling studies led by other teams (Tech, Data) to ensure their robustness and compliance.
• Strengthen the AML/FT framework: You will improve transaction monitoring through statistical analysis to keep fraud risk low and actively detect new fraud patterns.
• Implement risk monitoring and reporting: You will help the Risk team build their monitoring capability by identifying data sources and ensuring all risk indicators are accurate and up-to-date.
• Engage stakeholders: You will align teams across the company on model governance and clearly communicate review outcomes to diverse audiences.
🤔 What you can expect
• Modern Methodologies: Work with state-of-the-art statistical techniques and modern modeling pipelines, moving away from the "old-school" approaches often found in traditional banking.
• High Impact: A unique opportunity to shape the model risk management framework from the ground up in a hyper-growth environment.
• Tech Stack: Utilization of a modern technical stack including Python and SQL, with the freedom to choose the best methodologies for the job.
• Dynamic Environment: A fast-paced setting where you will balance the thoroughness of rigorous risk analysis with the speed of execution required by our exponential client growth.
🤝 About your future manager
You will report to Gauthier, an expert in statistical modeling with a background in Data Science and Risk Management. Gauthier fosters a culture of technical excellence and autonomy, supporting you in using state-of-the-art techniques to build our risk framework from the ground up.
🏅 About You
• Experience: You have at least 3 years of experience as a Machine Learning Engineer, Statistician, or Data Scientist, with a specific background in Banking, Fintech, or Insurance (ideally in Fraud or Risk).
• Technical Mastery: You are proficient in Python (specifically libraries like Pandas and Scikit-learn) for financial modeling and have strong SQL skills for autonomous data extraction.
• Regulatory Knowledge: You have a solid understanding of regulatory frameworks (CI license), Model Risk Management, and the specific constraints of AML/FT.
• Communication: You excel at stakeholder management, capable of explaining complex model limitations and "pushing back" effectively with both technical teams and business partners.
• Builder Mindset: You are autonomous and proactive, capable of structuring governance frameworks and processes independently in a scaling organization.
Skills
PythonSQLMachine LearningPandasScikit-learnData ScienceExcelAMLFinancial ModelingRisk ManagementCompliance
