Senior Specialist III
Assist senior managers, directors and vice president with the responsibility for facilitating, enterprise-wide management of model risk so that the bank is not subject to unjustified (in a risk vs. return framework), undue and unidentified risks due to the use of models; This involves helping develop leading edge model risk measurement methodologies; providing input to the framework for model vetting, including model risk principles and standards, ensuring understanding, acceptance and mitigation of risks from the use of models, and the corresponding roles and responsibilities inherited from such use.
Good knowledge of financial theory; risk related models (credit, market, operational and liquidity etc.), capital (EC, RC) and stress testing models, pricing and valuation models etc.
• Advanced knowledge of quantitative data mining and statistical analysis techniques with minimum of three years of working experience; pertaining to credit risk modeling, particularly in wholesale credit risk modeling would be an asset
• In-depth knowledge of industry best practices and good understanding of Basel and other regulatory requirements on risk rating models and parameter estimation
• Knowledge of wholesale credit management, lending process and credit process as an asset
Skills:
• Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills
• Effective time management in order to efficiently deliver concurrent projects with competing priorities
• Good ability of conflict-solving; and ability to collaboratively work with model owner/sponsor counterparts
• Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
• Excellent computing development skills, particularly statistical and database modeling tools (SAS, R, MATLAB, Access/VBA etc.). Ability to adapt to various programming languages and environments. Advanced SAS proficiency is required
Education and Accreditations:
• Master degree in Statistics, Mathematics, Engineering, Economics, Finance and MBA etc.
• PhD in quantitative field or combination of quantitative and business degrees preferred
