ML Intern: Build Production-Ready Risk Models (Hybrid)

Qonto; Paris; Hybride; EUR 13 000 - 20 000; Temps partiel

Avantages offerts par ce poste

Flexible schedule

Hybrid work (2 days remote)

Gympass access

Lunch card

Public transport subsidy

Team events

1 paid day off per month

Résumé du poste

Qonto is seeking a Machine Learning Intern to join the Quantitative Risk team for a six-month period in Paris, mentored by the Head of Quantitative Risk and supported by an ML Engineer. You will help build and monitor ML tools, enhancing risk modeling in a regulated fintech environment.

The role offers exposure to end-to-end ML workflows, production-ready pipelines, and collaboration with senior specialists, with a hybrid policy including occasional remote work.

Qualifications

• Python proficiency with production-ready code.
• ML foundations: evaluation, feature selection, time-series methods.
• Clear technical writing to translate ML concepts into guidelines.
• AI-native workflow: using AI daily to learn and ship better work.
• Fluent English; French is a plus.

Responsabilités

• Formalize modeling guidelines and ensure models are high-quality and audit-ready.
• Support model risk documentation for regulators and audits.
• Contribute to ML infrastructure and CI pipelines to deploy models reliably.

Connaissances

Python

ML foundations

Technical writing

AI-native workflow

English fluency

Outils

CI/CD pipelines

Description du poste

Qonto is seeking a Machine Learning Intern to join the Quantitative Risk team for a six-month period in Paris, mentored by the Head of Quantitative Risk and supported by an ML Engineer. You will help build and monitor ML tools, enhancing risk modeling in a regulated fintech environment.

The role offers exposure to end-to-end ML workflows, production-ready pipelines, and collaboration with senior specialists, with a hybrid policy including occasional remote work.