Vice President - Model Validation - Liquidity / Market / Pricing

Vice President - Model Validation Liquidity / Market / Pricing (gn)

For our client, a leading global universal bank with its European headquarters in Frankfurt, we are currently looking for a Vice President - Model Validation Liquidity / Market / Pricing (gn) to strengthen the team.

Purpose of the job

The role is responsible for leading and overseeing the independent validation of pricing, market risk, liquidity, CCR/xVA, e-trading and ALM models. It combines quantitative and model risk expertise with effective governance and oversight to ensure consistent validation standards, robust remediation of identified issues, and transparent reporting to relevant governance, assurance and regulatory stakeholders.

Tasks

• Direct independent review activities across pricing, market risk, liquidity, CCR/xVA, e-trading and ALM models, ensuring robust assessments, consistent standards and appropriate follow-up of identified issues.
• Take ownership of validation conclusions and recommendations, including their documentation, escalation, resolution tracking and communication to senior stakeholders.
• Manage model validation issues from initial assessment through remediation and closure, including prioritisation, overdue actions and governance reporting.
• Contribute to building and strengthening the validation function through hiring, onboarding, coaching, resource allocation, quality assurance and development of standardised methodologies, while ensuring key risks and conclusions are effectively communicated.

Requirements

• Advanced degree in a quantitative discipline such as Mathematics, Physics, Engineering or Computer Science, combined with 5+ years of relevant experience in model risk, quantitative analytics, treasury, ALM or related areas.
• Strong practical background in model validation, model development or quantitative risk analysis, including experience handling large and complex datasets.
• Comprehensive expertise across pricing and risk methodologies, including risk factor modelling, VaR, Expected Shortfall, stress testing, liquidity, derivative pricing, CCR/xVA, e-trading and ALM models.
• Sound understanding of relevant regulatory and prudential frameworks, including CRR/CRD, FRTB, SA-CCR, CVA, ILAAP, IRRBB, EBA guidelines, MaRisk and applicable ECB/BaFin/Bundesbank or international model risk standards.
• Strong quantitative and qualitative analytical capabilities, with the ability to assess complex methodologies, assumptions and model outcomes.
• Proficiency in programming and data analysis tools such as Python, R, SQL or C++ is advantageous.