ML Product Manager: Applied Banking Automation

N26; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Personal development budget

Work-from-home budget

Wellness discounts

Language apps

Public transportation

Premium N26 account for you and family

Annual leave increase with tenure

Visa/relocation support

Descripción de la vacante

N26 is seeking a data-driven Technical Product Manager for Applied Machine Learning to join our Intelligent Operations Platforms (IOP) team. You will build and deploy ML solutions that empower internal teams and scale operations securely in a fast-moving fintech environment.

You will bridge data science and operations, translate model outputs into actionable requirements, and own feature delivery from discovery to deployment, while collaborating with ML engineers and business stakeholders.

Formación

• 4+ years of experience as a Product Manager in a technology-driven environment.
• Hands-on experience with, or strong interest in, data products, analytics, or Machine Learning workflows.

Responsabilidades

• Execute the ML Product Roadmap: deliver feature delivery from discovery through deployment.
• Bridge Data Science and Operations: translate pain points into clear technical specs, user stories, and acceptance criteria.
• Drive Operational and FinCrime Automation: deliver predictive models to automate back-office tasks and improve fraud detection.
• Monitor Model Health and KPIs: track production accuracy, latency, and false positives; plan retraining and optimization.
• Drive squad backlog execution: groom backlogs, write detailed user stories, participate in daily sprints.

Conocimientos

Data fluency & SQL

Core ML fundamentals

Model evaluation understanding

Technical communication

Descripción del empleo

N26 is seeking a data-driven Technical Product Manager for Applied Machine Learning to join our Intelligent Operations Platforms (IOP) team. You will build and deploy ML solutions that empower internal teams and scale operations securely in a fast-moving fintech environment.

You will bridge data science and operations, translate model outputs into actionable requirements, and own feature delivery from discovery to deployment, while collaborating with ML engineers and business stakeholders.