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N2N26

Credit Risk Manager (Retail Lending)(m/w/x)

Berlin
Vollzeitmit HomeofficeManagement
AI/ML
Data Science

Optimizing decision engines and applying machine learning for retail credit risk on a digital banking platform. European retail credit risk market expertise and 5+ years experience required. Personal development and work from home budgets provided.

Anforderungen

  • 5+ years Credit Risk Management experience
  • Experience in Retail Bank or high-growth environment
  • BSc/MSc in a quantitative field
  • PhD or FRM qualification is advantageous
  • European retail credit risk market expertise
  • Ability to manage E2E credit processes
  • Expertise in IFRS 9 loan loss provisioning
  • Experience in credit risk modeling governance
  • Application of Machine Learning to credit
  • Strong technical background in Python and SQL
  • Expertise in prudential and consumer regulations
  • Strong leadership and team development skills
  • Fluent English and excellent communication skills
  • Proficiency in German is advantageous
  • Rigorous critical thinking and improvement drive
  • Excellent communication and presenting skills
  • Passion for data and problem-solving
  • Attention to detail and conceptual thinking
  • Flexibility in fast-changing environments
  • Proactive support for team success
  • Willingness to learn and accept feedback

Aufgaben

  • Drive the evolution of retail credit risk frameworks
  • Take methodological ownership of the end-to-end credit cycle
  • Optimize decision engines and cut-off strategies
  • Oversee credit risk model development and calibration
  • Apply machine learning to enhance predictive power
  • Monitor portfolio quality and IFRS 9 provisioning
  • Design and maintain automated process controls
  • Manage credit risk data quality and lineage
  • Ensure compliance with MaRisk and EBA guidelines
  • Liaise with internal and external auditors
  • Lead and mentor a team of risk experts
  • Collaborate cross-functionally with product and finance teams

Berufserfahrung

  • 5 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher
  • DeutschGrundkenntnisse

Tools & Technologien

  • IFRS 9
  • Python
  • SQL
  • Machine Learning

Benefits

Sonstige Zulagen

  • Personal development budget
  • Work from home budget
  • Premium N26 bank account
  • Relocation package

Mitarbeiterrabatte

  • Fitness and wellness discounts
  • Friends and family subscriptions

Weiterbildungsangebote

  • Language app subscriptions

Öffi Tickets

  • Public transportation discounts

Mehr Urlaubstage

  • Additional annual leave per service

Sinnstiftende Arbeit

  • High degree of autonomy

Moderne Technikausstattung

  • Access to cutting-edge technologies

Lockere Unternehmenskultur

  • Friendly and diverse team

Sonstige Vorteile

  • Visa support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens N26 erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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