N26 is looking for a Retail Credit Risk Manager to further develop the credit risk function at a cutting-edge technology-driven bank, spearheading the development of our analytical solutions and credit risk models for (Unsecured) Retail Lending, based on state-of-the-art methods and technology, as well as latest regulations in cooperation with leading business and tech experts, and taking a key role in assessing, controlling and reporting credit risks.
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of the End-to-End (E2E) credit cycle—from origination and monitoring to problem loan management and collections. You will oversee the development, calibration, and maintenance of N26's suite of credit risk models (PD, LGD, CCF, Debt-Servicing Ability, Early Warning Systems). You will guide the team in applying Machine Learning methodologies and advanced transactional data to enhance predictive power while ensuring model explainability and governance.
Oversee portfolio health and provisioning: You will be responsible for the continuous monitoring of portfolio quality and the accuracy of loan loss provisioning under IFRS 9. You will derive strategic insights from risk data to adjust risk appetite and advise Business and Product teams on portfolio trends.
Master Data Management: You will oversee the quality, availability, and lineage of credit risk data. You will ensure the team manages the data basis effectively for reporting and modeling, ensuring consistency across internal databases and external sources.
Ensure regulatory compliance and operational excellence: You will ensure full adherence to prudential (MaRisk, EBA Guidelines) and consumer/data regulations (GDPR, EU AI Act). internal and external auditors
You will foster a culture of cross-functional collaboration, working closely with Product, Finance, and Data Scientists in a matrix environment to deliver shared business goals.
Professional Experience: You have 5+ years of experience in Credit Risk Management within the retail segment. Ideally, you bring a combination of experience from a well-established Retail Bank (building solid foundations) and a high-growth environment/challenger bank (adapting to speed and innovation).
Quantitative Academic Background: You hold a BSc/MSc in a quantitative field such as Applied Mathematics, Natural Sciences, Quantitative Finance, Statistics, Econometrics, or Engineering. PhD, FRM) are a plus.
European Market Expertise: You demonstrate genuine industry expertise in retail credit risk management for the European market, with a deep understanding of unsecured lending products and consumer behavior.
You also oversee intensified loan management and problem loan management, including debt collections strategies. Credit Portfolio Monitoring, Reporting & Provisioning: You are responsible for the oversight of portfolio health. You understand key performance and risk indicators for retail lending portfolios and oversee accurate regulatory and internal reporting. You have solid expertise in loan loss provisioning under IFRS 9, including stage transfer logic and impairment calculations.
You are experienced in applying Machine Learning techniques to credit decisioning, utilizing both conventional credit bureau data and advanced data sources (specifically transactional data). Technical Stack: You possess a strong technical background in Python and SQL with solid data management skills. You can review code, understand data structures, and guide the team on technical implementation, bridging the gap between risk requirements and data science execution.
EBA Guidelines on Loan Origination and Monitoring, MaRisk) as well as consumer and data regulations (GDPR, EU AI Act, Consumer Protection). You are experienced in engaging with internal and external auditors and external supervisory authorities.
Managerial Skills & Collaboration: You are a fully fledged credit risk manager with strong leadership skills to lead and develop a team of experts. You excel at cross-functional collaboration, working seamlessly with Product, Business, Accounting, Regulatory Reporting, and Risk Controlling stakeholders to oversee profitable and strictly regulatory-sound growth.
Fluent in English with excellent communication skills. Proficiency in German is considered an advantage
Passion for data and complex problem-solving
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. A relocation package with visa support for those who need it.