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Embark on a transformative journey as a Non-Traded Models IVU-VP at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Model Risk Management (MRM) is a function reporting directly to the Group Chief Risk Officer and responsible for the identification, assessment, monitoring and management of Model risk within Barclays. Independent Validation Unit (IVU) is one of the key areas under MRM. As a second line defence function, IVU approves or rejects models following a technical review thereby ensuring transparency and effective management of risk associated with any model in which Barclays relies upon for financial or non-financial decisions. The IVU Team has responsibility for the Independent Validation of various model types (e.g. capital, impairment, underwriting, behaviour, collection & recovery, existing customer management (ECM), fraud, stress testing models etc.). It provides assurances to the senior managers including the individual Business Chief Risk Officers and the Group CRO and Finance Director (through the Executive Models Committee) on the key aspects associated with risk models.
Job Responsibility:
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
Requirements:
Validate credit risk related regulatory (IRB, IFRS9, CCAR and Stress Testing) models for wholesale portfolios by following Bank’s policies and standards
Perform technical analysis and/or build alternative benchmarks to new and existing models, in line with the requirements set out in the bank’s standards and policies
Work as an Individual Contributor and also Mentor a team of 2-3 analysts
Review regulatory requirements to ensure compliance with different regulatory guidelines e.g. SR 11-7, PRA, FRB, SS-1/23
Support the development and review conformance with appropriate policies including Group Model Risk policy
Solid understanding of the quantitative techniques used in developing and validating models including credit risk related regulatory (IRB, IFRS9, CCAR, Stress-testing, PD, EAD, LGD) models for wholesale portfolios
Hands-on experience in the use of statistical packages such as Python, SAS, R
Expert user of Microsoft Excel and other Microsoft Office tools
An ability to identify and analyse appropriate external data sources including macro-economic variables for model development or validation along with excellent communication and stakeholder management skills
Nice to have:
Masters in Statistics, Mathematics, Economics, Operational Research, Engineering, MBA
Relevant experience in a modeller/validator role in the financial services industry
Excellent communication and stakeholder management skills
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