Our client is a leading international financial institution with a strong presence in the EMEA region. With a broad platform and a clear growth agenda, the company offers a wide range of career opportunities across corporate finance, investment banking, advisory, and global capital markets. Professionals joining the firm can expect to work on diverse and high-impact projects, gaining valuable experience in a dynamic and globally connected environment.
The role is responsible for providing independent oversight and validation of credit risk and stress testing models, including credit rating models, PD/LGD/EAD, IFRS 9/ECL, loss reserve models, credit portfolio models, capital, ICAAP and related forecasting and scenario models. It combines quantitative and model risk expertise with strong governance and stakeholder engagement to promote consistent validation standards, effective follow-up of identified findings, and transparent communication to relevant governance, assurance and regulatory stakeholders.
Lead independent validation of credit risk and stress testing models, including credit rating, PD/LGD/EAD, IFRS 9/ECL, loss reserve, credit portfolio, capital, ICAAP and forecasting/scenario models, ensuring consistent quality, remediation oversight and effective reporting.
Ensure robust, independent and clear validation conclusions, findings and recommendations, including timely escalation, tracking and senior stakeholder communication.
Oversee the full validation findings lifecycle, including severity assessment, remediation tracking, closure review, overdue escalation and governance reporting.
Support the development of the model validation function through recruitment, onboarding, coaching, work allocation, quality assurance and consistent validation standards, while communicating key risks and recommendations to senior stakeholders.
Ensure effective alignment and collaboration with relevant model risk and validation teams to promote consistent practices and knowledge sharing.
Support model risk governance and oversight activities for models within the relevant scope.
Advanced degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Engineering or Computer Science, combined with 5+ years of relevant experience in model risk, validation, development or quantitative risk disciplines.
Proven practical expertise in model validation, credit risk modelling, stress testing, capital modelling or quantitative risk analytics, including analysis of large and complex datasets.
Comprehensive understanding of credit risk and stress testing methodologies, including credit rating, PD/LGD/EAD, IFRS 9/ECL, loss reserve, credit portfolio, ICAAP, stress testing and forecasting/scenario models.
Sound knowledge of relevant regulatory and supervisory frameworks, including IFRS 9/ECL, ICAAP, EBA/ECB stress testing, CRR/CRD, MaRisk, ECB/BaFin/Bundesbank requirements and applicable international model risk standards.
Strong quantitative capabilities across benchmarking, sensitivity and outcome analysis, back-testing, performance monitoring, segmentation, calibration and data quality assessment.
Proficiency in quantitative programming and data analysis tools such as Python, R, SQL or SAS is advantageous.
Excellent communication skills, with the ability to translate complex quantitative and risk-related topics for both technical and non-technical audiences.
Demonstrated leadership capabilities, including coaching, mentoring, quality assurance and development of junior team members.
Flexible and hybrid working arrangements
Private health insurance, including life and disability coverage
Counseling and coaching services to support mental wellbeing
Comprehensive learning and development programs
Attractive compensation package
Inclusive and diverse workplace culture