Credit Risk Manager

About the role

N26 is actively seeking a Credit Risk Manager to integrate into the Retail Mortgage division, where the primary mandate involves architecting and sustaining sophisticated data analytics frameworks alongside second-line process controls for the mortgage portfolio. The incumbent of this position is expected to demonstrate profound methodological mastery over data processing instruments, specifically SQL, Python, and R, while simultaneously cultivating a voracious curiosity regarding the broader mortgage ecosystem, which necessarily includes macroeconomic evaluations of underlying collateral. Success in this role is defined by the diligent implementation and administration of IFRS 9 models, early warning mechanisms, and control frameworks that operate in strict adherence to regulatory expectations. This position requires a proactive stance in ensuring that all methodologies are not only effective but also compliant with the evolving standards of the financial sector. The hire will be instrumental in bridging the gap between technical execution and strategic risk management, translating complex regulatory requirements into actionable operational protocols. The role demands a high degree of autonomy and ownership over the risk management lifecycle, from initial design through to ongoing monitoring and optimization. Ultimately, the Credit Risk Manager will serve as a cornerstone for the integrity and resilience of N26's mortgage risk infrastructure.

Key facts

What you'll do

Contribute directly to the strategic evolution and operational maturation of N26's mortgage credit risk function, ensuring alignment with corporate growth objectives and rigorous compliance standards.

Champion the continuous refinement of N26's global mortgage governance framework, policies, and procedures, maintaining strict conformity with the latest Dutch, European, and German regulatory mandates.

Provide critical support for the development and execution of controls that monitor the entire mortgage lifecycle, encompassing loan origination, sophisticated collateral valuation, portfolio monitoring, early warning systems, and loss provisioning.

Architect, implement, and oversee robust second-line control mechanisms and tools designed to supervise business activities and ensure the effective oversight of external service providers.

Engineer and sustain a resilient mortgage credit risk database, focusing intensely on data quality and integrity to facilitate precise portfolio analysis, single-case reviews, and accurate financial provisioning.

Execute complex data analysis tasks and contribute to the development of IFRS 9 quantitative models, specifically focusing on Probability of Default (PD) and Loss Given Default (LGD) metrics across diverse risk dimensions.

Conduct comprehensive risk assessments to evaluate the potential impact of macroeconomic fluctuations on collateral values and overall portfolio health.

Collaborate extensively with Mortgage Business, Group Treasury, Capital Markets, Corporate Finance, Risk Controlling, Accounting, Regulatory Reporting, and Technology departments to embed credit requirements and foster a cohesive risk culture.

Analyze historical portfolio performance to identify trends, anomalies, and areas for improvement in risk modeling and control effectiveness.

Translate intricate regulatory requirements into practical workflows and system specifications to ensure seamless implementation across technical and business units.

Monitor key risk indicators meticulously, providing actionable insights and reports to senior management and stakeholders.

Develop and maintain detailed documentation for all processes, controls, and models to ensure transparency and facilitate audits.

Perform ad-hoc analyses and generate reports required for internal and external regulatory examinations, ensuring timely and accurate responses.

Continuously challenge the status quo, identifying opportunities to enhance efficiency, reduce risk, and leverage data-driven insights for strategic advantage.

Requirements

Hold a Bachelor's degree in finance, econometrics, statistics, mathematics, computer science, or a closely related quantitative discipline; a Master's degree or relevant certifications (CFA/FRM) are considered a significant advantage.

Bring a minimum of 3 years of professional experience specifically within credit risk management, data analytics, process controls, or methodology development, with prior exposure to retail mortgage environments being highly desirable.

Demonstrate a proven track record in constructing, implementing, and operating credit process controls and oversight frameworks that ensure regulatory compliance.

Exhibit a thorough understanding of key risk indicators pertaining to obligors, collateral assets, and the broader portfolio within the mortgage lending context.

Possess a solid comprehension of the end-to-end value chain for mortgage products, including credit decisioning, active monitoring, early warning procedures, and the management of non-performing loans.

Maintain strong familiarity with European regulatory landscape, such as EBA guidelines, and have specific experience with Dutch mortgage regulations (THRK) or German regulations (MaRisk, KWG), including a history of successful implementation and interaction with supervisory bodies.

Show exceptional proficiency in SQL for the purposes of data extraction, manipulation, and sophisticated analysis, with additional expertise in programming languages like Python or R for quantitative modeling and data processing being a substantial asset.

Possess a firm grasp of credit risk methodologies, including Probability of Default (PD), Loss Given Default (LGD), debt-servicing capacity assessments, and advanced collateral valuation techniques.

Cultivate a meticulous attention to detail and a strong commitment to data integrity, ensuring that all analyses and reports are accurate, reliable, and fit for purpose.

Communicate effectively with both technical and non-technical stakeholders, translating complex concepts into clear and concise narratives.

Nice to have

Candidates with prior experience in FinTech environments will find their background aligns exceptionally well with the innovative pace of this role.

Individuals who have successfully navigated complex regulatory landscapes and have established relationships with supervisory authorities will be viewed favorably.

Practical notes

This is a full-time position based in Berlin.

Candidates must be eligible to work in Germany without requiring additional visa sponsorship, or must already possess the necessary authorization to work within the European Economic Area.

No specific working hours are outlined in the source material, implying adherence to standard full-time schedules.

The compensation details regarding salary or benefits are not specified in the provided source documentation.