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

Consultant || Enterprise Validation