Model Validation Director - Treasury & Markets Risk

Model Validation Director - Treasury & Markets Risk

U.S. Bank is seeking an experienced Model Validation Director for our Treasury & Markets risk areas. The role resides within the bank’s Risk Management and Compliance organization and supports the Model Risk Management program. The Executive Leader will promote effective governance and risk management to assess and manage credit, financial, liquidity, market, operational, reputational, strategic and other risks that may impact the company.

• Leads a highly skilled analytic team to independently review and validate a wide range of models including treasury, liquidity, PPNR, mortgage servicing rights, counter party credit risk and market risk models.
• Assesses model risk through pre‑implementation validations, periodic validations and monitoring activities that independently challenge conceptual design/methodology, reference data, processes and performance.
• Identifies corrective actions that promote model risk management process improvements and ensure timely remediation of identified issues.
• Leads the team in identifying and implementing a process to conduct diverse sophisticated analyses of models and manages tasks/resources to shepherd each project to completion in a timely fashion. Validation produces reports that challenge model assumptions, limitations, processes and documentation.
• Develops and leads a team to establish and continuously enhance model validation processes, including testing and critical review of conceptual and performance aspects of the models through creation of alternative benchmark approaches, back‑testing, stress and sensitivity testing.
• Reviews independently authored reports detailing analysis results to ensure they are presented accessibly to various levels of management and quantitative backgrounds.
• Interfaces with key stakeholders throughout the validation process, regulators and internal audit to discuss justification and reasoning behind validation and review findings.

• Master’s or Doctoral degree and 10+ years of relevant experience.
• 6+ years of experience leading a quantitative modeling team.
• Advanced degree in a quantitative discipline such as Mathematics, Statistics, Finance, Economics or related field.
• Strong background in one statistical programming language such as SAS, Python or R; familiarity with VBA, SQL or Matlab is a plus.
• Strong critical thinking skills and a detail‑oriented nature to challenge models developed internally and by vendor.
• Experience with econometric concepts such as time‑series models and generalized linear regression approaches.
• Ability to derive insights from large complex datasets.
• Experience developing and/or validating market risk, counter party credit risk and derivatives pricing models.
• Excellent verbal and written communication skills; ability to explain complex ideas in simple, non‑technical language.
• Ability to build strong relationships with peers, business line managers and colleagues across the bank.
• Highly motivated with the ability to learn and understand various business lines and their functions within the organization.
• Strong leadership and organizational skills; ability to manage multiple teams and concurrent assignments.
• Experience with regulatory guidance (OCC 2011‑12, Basel, ICAAP, FRTB, AMA, CCAR, Market Risk Rule).
• Familiarity with vendor platforms such as QRM, Polypaths, Yield Book, Risk Metrics, and Bloomberg.
• Experience with mortgage finance, including mortgage servicing rights and the mortgage warehouse.
• Experience participating in bank stress testing exercises.
• Strong knowledge of treasury, liquidity, PPNR, counter party credit risk and market risk models.
• Strong understanding of statistical, economic and financial theories such as econometric methods, data sampling, numerical analysis and options pricing techniques.
• Strong understanding of regulatory rules and risk management procedures; ability to effectively convey complex concepts to a broad audience.
• Demonstrated experience leading advanced quantitative teams with multiple layers and managing talent.
• Strong project management skills.
• Experience presenting analytic concepts and…