Credit Risk Senior Associate Modelling (Retail Mortgage) Relocation to Berlin

Credit Risk Senior Associate (Retail Mortgage)

Please note this position is based in Berlin Germany - relocation support can be provided.

Credit Risk Senior Associate - Retail Mortgages

N26 is looking for a Credit Risk Senior Associate to join N26s Retail Mortgage team. The core purpose is to design implement and manage robust data analytics and second-line process controls for the mortgage portfolio. The role emphasizes deep methodological expertise with data processing tools (SQL Python R) and a proactive curiosity for broader mortgage business aspects including macroeconomic analysis of collateral and digital process controls. The Senior Associate will ensure rigorous regulatory compliance (Dutch EU German especially EBA GL LOM) and contribute to scaling the credit risk function through data-driven insights and control effectiveness.

In this role you will

• Contribute significantly to the further development of N26s mortgage credit risk function aligning with N26s growth aspirations robust risk management objectives and stringent regulatory compliance requirements within the retail mortgage business.
• Play a key role in the continuous enhancement of N26s global mortgage governance framework policies and procedures ensuring full alignment with the latest Dutch (e.g. THRK) European (e.g. EBA GL LOM) and German (MaRisk KWG) regulations.
• Support the further development and seamless implementation of end-to-end mortgage credit processes and criteria. This includes but is not limited to loan granting comprehensive collateral management sophisticated monitoring proactive early warning systems intensified and problem loan management and accurate loan loss provisioning.
• Design implement and operate robust second-line control frameworks and tools for mortgage processes and the portfolio including for the oversight of business activities and effective monitoring of third-party service providers.
• Develop and maintain a resilient and accurate mortgage credit risk database crucial for precise portfolio and single case monitoring portfolio reporting and loan loss provisioning with a strong focus on data quality and integrity.
• Conduct in-depth data analysis and support further development of quantitative models (PD LGD) to assess key risk indicators across obligor collateral and portfolio levels within the mortgage domain.
• Proactively run comprehensive risk analyses including assessing the impact of macroeconomic factors on collateral values and broader portfolio performance.
• Partner with Mortgage Business Group Treasury Capital Markets Corporate Finance Risk Controlling Accounting Regulatory Reporting and Tech departments to implement credit requirements help ensure transparency and compliance with applicable credit law and regulations and contribute to establishing a risk culture in the organization.
  
  

Background

• Bachelors degree in finance econometrics statistics mathematics computer science or a comparable quantitative field; an additional qualification (e.g. Masters degree in a relevant field passed CFA or FRM exams) is a strong plus.
• 3 years of experience in credit risk management (experience with retail mortgages is an advantage) data analytics process controls or credit risk methodology development. Previous experience in a FinTech environment is a plus.
  
  

Skills

• Proven experience in building implementing and running credit process controls and oversight frameworks.
• Good understanding of key risk indicators across obligor collateral and portfolio levels within the mortgage domain.
• Solid understanding of processes across the entire mortgage value chain (e.g. credit decisioning monitoring early warning intensified and problem loan management).
• Solid knowledge of European regulations (e.g. EBA) exposure to Dutch mortgage regulations (e.g. THRK) or German (MaRisk KWG) regulations being advantageous; successful track record of understanding their implementation and liaising with supervisory authorities is a strong plus.
• Strong proficiency in SQL for data extraction manipulation and analysis; experience with other programming languages (like Python or R or other data processing tools) for quantitative analysis and model development is a significant advantage.
• Solid knowledge of credit risk methodology including PD/LGD models debt-servicing ability and advanced collateral valuation techniques with a keen understanding of integrating ESG factors.
• Strong analytical and quantitative skills with the ability to independently generate actionable insights from complex data.
• Experience with data governance and data quality management processes is a strong plus.
• Fluent English (German and/or Dutch is a plus).

Traits

• Curiosity and Hands-On Approach: An inherent curiosity about the underlying mechanics of the mortgage business macroeconomic factors impacting collateral values and a strong hands-on attitude towards problem-solving.
• Analytical Rigor & Attention to Detail: Possessing a meticulous attention to detail coupled with exceptional analytical and problem-solving skills.
• Proactive Drive for Improvement: A strong drive to challenge existing processes for the better identify areas for enhancement and proactively implement data-driven solutions.
• Bridge Complexity: Excellent communication skills particularly the ability to translate complex technical and quantitative analyses into clear concise insights for various stakeholders.
• Continuous Learning: An eagerness to continuously learn new methodologies technologies and regulatory developments adapting quickly in a fast-changing environment.
• Strong Ownership: A very strong sense of ownership taking full accountability for deliverables and demonstrating a get things done approach with an autonomous attitude.
• Collaborative Mindset: A positive and collaborative mindset actively helping oneself and the team to be successful in an open and supportive environment.

Whats in it for you:

• Accelerate your career growth by joining one of Europes most talked about disruptors .
• 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. As well as subscriptions for friends and family members.
• Additional day of annual leave for each year of service.
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities life experiences and family statuses.
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for todays digital world. Technology and design empower everything we do and its how we are building the global banking platform the world loves to use.

Weve eliminated physical branches paperwork and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe including Vienna and Barcelona and a 1500-strong team of more than 80 nationalities.

Sounds good Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds cultures genders sexual orientations abilities neurodiversities and ages. Were committed to creating an inclusive workspace where everyone feels valued and respected free from harassment and discrimination. If theres anything you need to make the application process work for you please let us know by reaching out to

Visit our website to learn more about Diversity Equity & Inclusion at N26.