The successful candidate will report to the Head of Model Validation. The purpose of the role is to act as the second line of defence on Model Risk and to validate the models used in the Bank. This team is responsible for performing model validation and model review for a wide range of pricing and risk models. Responsibilities for this role include the validation counterparty credit exposure and XVA models.
Model Validation focused on counterparty risk models
Validate counterparty credit exposure and XVA models. This also includes the review of risk factor simulation models, backtesting and model calibration.
Independently implement benchmark models. This also covers product specific implementations and features such as CSAs and netting. Validate the models from a mathematical and implementation perspective. Review the applicability (i.e. the strengths, weaknesses, model assumptions and limitations) of the models
Document model validation testing and findings to a high standard and follow up with stakeholders on identified modelling issues. Develop the capability to communicate and interact with the different relevant stakeholders and oversight bodies, e.g. front office, risk department, regulators, and internal and external auditors.
Conduct validations with a minimal amount of supervision in line with regulatory expectations.
Model Governance Participate in the relevant technical committees and present model validation documents. Conduct model risk management processes including model risk monitoring and ongoing and periodic validation.
Key interfaces Establish a strong working relationship with key stakeholders in front office, finance and risk functions. Provide stakeholders with answers to day-to-day requests while preserving long term objectives and regular schedule review.
Preferred Qualifications and Experience
Excellent academic credentials. Masters or PhD degree in a quantitative field are required
Advanced knowledge of quantitative methods such as financial mathematics, stochastic processes and Monte-Carlo simulation.
Extensive knowledge of and experience in validating counterparty risk models (PFE and XVA models).
Good knowledge of regulatory standards and capital requirements under Basel III and SACCR Good understanding of CCR and XVA risk measurement and management. Good high-level cross asset class product knowledge.
Good coding skills (preferably C++) and working knowledge of Excel. Experience with Adaptiv Analytics for PFE modelling, Murex as a booking and risk management tool would be beneficial.
Good written and verbal communication skills; ability to work independently. Flexibility to adapt to changing day-to-day priorities whilst simultaneously achieving longer term project based deadlines.
