Risk Frameworks Senior Specialist (f/m/x)

For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people - in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world - be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management division. Together we can make a great impact for our clients home and abroad, securing their lasting success and financial security.

At Deutsche Bank, we are committed to fostering an inclusive and accessible work environment where everyone can thrive. In our commitment to diversity and in accordance with the Spanish General Disability Law (LGD), we especially welcome applications from qualified candidates with a recognized degree of disability.

Join Deutsche Bank Risk in Madrid and take a key role in the management of our credit risk models. Become the key point of contact for credit risk models, connecting Spain with Model Development and Model Validation teams, and ensuring high-quality data for model recalibration. Take an active role in international projects, working across functions and countries to strengthen our modelling framework and bring the Spanish portfolio perspective to global initiatives.

• Act as the primary contact for Spanish credit risk models, ensuring effective coordination with Model Development and Validation teams throughout the model lifecycle.
• Coordinate and support model development, recalibration and validation activities, ensuring that local portfolio characteristics, data considerations and business context are appropriately reflected and communicated.
• Ensure quality and accuracy of the data provided for model recalibration, working with the relevant stakeholders to identify data-quality issues, inconsistencies or gaps and drive their resolution; ensure appropriate data preparation, reconciliation and quality controls ahead of recalibration and validation exercises, supporting a robust and reliable modelling process.
• Act as the central interface between local Credit Risk, model developers, validators and other relevant stakeholders, coordinating requests, analyses, validation findings and follow-up actions.
• Contribute to the effective governance and documentation of PD and LGD models, providing the required local input and maintaining transparency over key model and data topics.
• Play a key role in international and cross-country projects, representing the Spanish perspective and collaborating with global teams on model, data and credit risk initiatives and promote alignment and knowledge sharing across countries and functions, helping translate global modelling requirements into the Spanish portfolio context.

• We are seeking experienced professionals with expertise in credit risk models for retail portfolios, focused on the calculation of Expected Credit Loss (IFRS 9) and capital (RWAs). A strong understanding of IFRS 9, CRR3 and new Definition of Default regulations is highly preferred.
• Background in Business Administration (ADE), Engineering, Science Degree or related fields, with solid knowledge of risk parameters, especially in advanced risk models (IRBA) under CRR. Strong background in credit risk management or consulting area specialized in credit risk management is desirable.
• Deep knowledge of SAS and/or Python knowledge is highly recommended. Strong quantitative and qualitative credit data analysis skills required.
• Flexible, proactive, results-driven professional with a strong focus on innovation. Excellent organizational skills, ability to multitask effectively, and keep an eye for identifying and evaluating processes, controls and risks.
• A highly communicative professional with strong interpersonal skills and excellent written and verbal communication abilities in both Spanish and English. Capable of effectively engaging with stakeholders at all levels.
• Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.