Consultant || Enterprise Validation

Capabilities, Experience & Qualification Requirements

• 10+ years’ professional experience in financial risk including both risk management and quantitative modelling (preferably within the banking sector)
• Experience in development or validation of statistical models
• Demonstrate deep understanding the regulatory environment
• Strong computer literacy is essential, familiarity of Excel/SAS/SQL/R/Python
• Development and implementation of risk models (vendor or “in-house” models) for a variety of lending products

Qualification Requirements

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

Key Accountabilities

• 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
• Support the pipeline of model validation activity
• Assist with engagement to senior management, regulators, professional bodies and other interested stakeholders on the performance of enterprise models
• Support / coaching of / sharing of knowledge with team members as required
• Maintain fluency with industry standards and methodologies relating to Gen AI and other new modelling techniques