Model Validation AVP - Stress Testing

Barclays•New York, NY

11d•$100,000 - $160,000

About The Position

Join us as a Model Validation AVP - Stress Testing, responsible for validating non traded and internal risk models to ensure they are fit for use at inception and through ongoing periodic reviews. This role focuses on stress testing, liquidity, treasury, and credit risk models, supporting enterprise-wide risk management and regulatory expectations. The position requires strong quantitative modeling, statistical analysis, and programming expertise, with hands on involvement in model assessment, documentation, and challenge. You will partner closely with stakeholders across Risk, Treasury, and Finance while delivering high quality validation work under tight timelines.

Requirements

Experience in model validation or development for stress testing, liquidity, treasury, or credit risk models
Quantitative foundation in statistics, econometrics, or mathematical modeling
Proficiency in programming such as C++ or similar analytical languages

Nice To Haves

Familiarity with CCAR, Bank of England stress testing, IRRBB, or related regulatory frameworks
Written and verbal communication skills to clearly document and challenge models
Project management and prioritization skills in a fast-paced environment

Responsibilities

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models.
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses.
Assessment of any compensating controls used to mitigate Model risk.
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement.
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning.
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty.
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.