Machine Learning Intern

Join us as a Machine Learning Intern to help Qonto's Quantitative Risk team build better ML tools, monitor model performance, and manage credit risk. Over 6 months, you'll help us anticipate business needs and move faster with confidence, working closely with Gauthier Marquand, our Head of Quantitative Risk, and mentored day-to-day by Paul-Adrien Marie, our ML Engineer.

Start date: October/November 2026

➡️ What you'll do

• Formalize modeling guidelines: Document and enhance state-of-the-art ML standards so every model the team ships is high-quality and audit-ready. 
• Support model risk documentation: Help the Model Risk Manager keep model documentation and reporting airtight for regulators.
• Strengthen ML infrastructure: Contribute to the CI pipelines and tooling that let the team deploy models reliably.

➡️ What we're looking for

• Python proficiency: You write clean, production-ready code following solid software engineering practices.
• ML foundations: You're comfortable with model evaluation, feature selection, and time-series methods.
• Clear technical writing: You can turn complex ML concepts into guidelines and reports people actually use.
• AI-native workflow: You use AI daily to learn faster and ship better work, and you're always exploring new techniques.
• Fluent English: French is a plus, not a requirement.

➡️ What we can offer you

• Full ML stack exposure: See how models go from data to production inside a regulated fintech.
• Cutting-edge techniques: Apply recent ML methods and measure their real business impact.
• Production ML skills: Build systems that scale, not prototypes that stay in a notebook.
• A tight, senior team: Work directly with Gauthier and four other quantitative risk specialists at the intersection of finance and tech.

At Qonto, we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — you may have the missing piece of the puzzle we've been searching for all along.

Perks

Flex your schedule. Work from home up to 2 days a week with our hybrid policy.

Stay active. Gympass gives you access to 3,000+ sports and wellness partners.

Eat well. Lunch card, 50% on us.

Get around. 50% of the cost of your public transportation pass is covered.

Enjoy the rest. Team events, snacks, and beverages.

Take time off. 1 paid day off per month, no questions asked.

Be yourself. An inclusive, supportive environment where everyone belongs.

• Interview with our recruiter
• Interview with your future mentor/manager
• Case Study debrief