ИспанияN26
Technical Product Manager - Applied Machine Learning
1 нед. назад
ИспанияSeniorOnsiteC1
sqldata visualizationmachine learningclassificationregressiondecision trees
Technical Product Manager for Applied Machine Learning at leading digital bank N26 based in Barcelona, focusing on building and deploying machine learning solutions to improve operational efficiency and compliance.
About the company
- N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
- We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings.
- We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.
- At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success.
- We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.
- We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!
About the product
- We are seeking a data-driven Technical Product Manager for Applied Machine Learning to join our Intelligent Operations Platforms (IOP) segment.
- Our ML Products team builds horizontal ML capabilities enabling various parts of the bank, from Financial Crime and Risk to Core Operations, to execute quickly and precisely.
- You will work at the intersection of data science and banking operations, turning predictive models into practical tools that improve efficiency and compliance.
Responsibilities
- Execute the ML Product Roadmap: Partner closely with Senior and Lead Product Managers to deliver on the broader machine learning strategy, taking ownership of feature delivery from initial discovery through deployment.
- Bridge Data Science and Operations: Act as the day-to-day connector between Data Scientists, ML Engineers, and business stakeholders by translating operational pain points into technical specifications, user stories, and acceptance criteria.
- Drive Operational and FinCrime Automation: Deliver predictive models to solve internal bottlenecks, automate back-office tasks, speed up document verification, and improve fraud detection accuracy.
- Monitor Model Health and Business KPIs: Define, track, and analyze performance metrics for live models, monitoring accuracy, latency, and false positive rates to identify opportunities for retraining and optimization.
- Drive Squad Backlog Execution: Partner with engineering leads to groom product backlogs, write detailed user stories, and participate in daily sprint rituals while maintaining strict security standards.
Requirements
- 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.
- Highly comfortable querying and analyzing datasets independently using SQL and data visualization platforms to evaluate model impact and validate hypotheses.
- Solid understanding of basic machine learning concepts including classification, regression, decision trees, and the model lifecycle from data collection to deployment.
- Ability to translate technical model evaluation metrics such as precision, recall, and F1 score into practical operational outcomes.
- Skill in translating complex business rules into precise engineering requirements and explaining model outputs to operational teams.
- Focus on delivering pragmatic, incremental value quickly rather than waiting for perfect data.
- Natural analytical problem solver curious about backend processes and operational friction.
- Respect for security, compliance, and data privacy requirements within a regulated financial institution.
Conditions
- Accelerate your career growth by joining one of Europe’s most talked-about disruptors and gaining hands-on experience in ML Product Management.
- Employee benefits include a competitive personal development budget, work-from-home budget, discounts to fitness & wellness memberships, language apps, and public transportation.
- Access to a Premium subscription on your personal N26 bank account plus subscriptions for friends and family members.
- An additional day of annual leave for each year of service.
- High degree of autonomy and access to cutting-edge technologies with a diverse and friendly team.
- A relocation package with visa support for those who need it.