Consultant || Model Validation (Gen AI Risk)

Capabilities, Experience Requirements

• 3+ years’ professional experience in "Gen AI (Generative Artificial Intelligence)" for financial risk including both risk management and quantitative modelling.

• 8+ years’ professional experience in financial risk including both risk management and quantitative modelling (preferably within the banking sector)
• Be familiar with development and implementation of Gen AI models (vendor or “in-house” models) for a variety of uses.
• Demonstrate deep understanding the regulatory environment relating to the use of AI.
• Strong computer literacy is essential, familiarity of Excel/SAS/SQL/R/Python.

Qualification Requirements

• Graduate degree (Masters or PhD preferable) in a quantitative field such as AI/Gen AI, Mathematics, Statistics, Applied Finance or Financial Engineering.

Key Accountabilities

• Maintain fluency with industry standards and methodologies relating to Gen AI and other new modelling techniques.
• Validation of high material models used in the Bank. This includes stakeholder / model owner engagement, writing of a validation report, assigning a validation rating of models and negotiating remedial actions following a validation, etc.
• Identification of business improvements in relation to models and provide a model risk advisory role to the business. Add value through independent review and challenge of existing models.
• Production of regular validation information to the Group Model Risk Committee regarding model performance.