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N26 provides digital banking services through a integral banking platform. It has eliminated physical branches, paperwork, and hidden fees to offer a digital banking experience and savings products.
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Deliver features from discovery through deployment in partnership with Senior and Lead Product Managers Connect Data Scientists, ML Engineers, and business stakeholders;
translate operational pain points into technical specifications, user stories, and acceptance criteria Deliver predictive models to automate back-office tasks, accelerate document verification, and improve fraud detection accuracy Define, track, and analyze live model performance metrics, including production accuracy, latency, and false positive rates, and identify opportunities for retraining and optimization Partner with engineering leads to groom product backlogs, write user stories, and participate in daily sprint rituals while maintaining security standards.
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4+ Years of experience as a Product Manager in a technology-driven environment
Hands-on experience with, or a strong interest in,



data products, analytics, or Machine Learning workflows Independently query and analyze datasets using SQL and data visualization platforms
Understand machine learning concepts, including classification, regression, decision trees, and the model lifecycle from data collection to deployment
Translate model evaluation metrics such as precision, recall, and F1 score into operational outcomes
Translate business rules into engineering requirements and explain model outputs and limitations to operational teams
Deliver pragmatic, incremental value quickly
Investigate complex backend processes and identify root causes of operational friction
Respect security, compliance, and data privacy requirements in regulated financial institutions
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Employee benefits include a personal development budget, work-from-home budget, fitness and wellness membership discounts, language apps, and public transporta

📌 Product Manager For Applied Machine Learning (España)
🏢 N26
📍 España