Machine Learning Intern

Qonto·France·Удалённо, Офис·30 мес. назад

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.

➡️ 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.