Senior Model Risk Specialist, Anti Money Laundering & Fraud

Job Description

Application Deadline: 05/07/2026 Address: 100 King Street West Job Family Group: Audit, Risk & Compliance Success in this role depends on a strong foundation in AML AND model validation—particularly within AML and fraud models—paired with solid hands‑on skills in SAS, Python, and SQL. Mandate Assist the Senior Manager and Director of the AML & Fraud Model Validation (MV) team with 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 and promoting the transparency and understanding of models and model risks used across the Bank in AML & Fraud areas. The mandate of this position is summarized as follows: • Effectively identify risks associated with models; timely, accurately and independently assess models used in the areas of responsibility; and tactfully provide the recommendations to model owners and users to mitigate the risks • Assist the Senior Manager to develop/continuously enhance model validation methodology; and conduct validation • Ensure that the models (development, documentation, usage, etc.) in AML & Fraud areas are compliant with the Bank’s Enterprise Model Risk Framework, and are compliant with OSFI/FRB/OCC’s requirement • Provide advisory support to large-scale projects as required and other work streams as appropriate and requested to ensure that bank’s models are in line with industry best practice • Support the Senior Manager in the development and execution of overall work plan Knowledge and Skills Knowledge: Hands-on experience and advanced knowledge in AML or Fraud models (transaction monitoring, Watchlist Screening, Customer Risk Rating, credit card fraud, mar) etc. Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques, with minimal 3 years of demonstrated experience pertaining to AML/Fraud or machine learning/statistical modeling. In-depth knowledge of industry best practices; Good knowledge of regulatory requirements on AML models; experience in regulatory matters as an asset Minimum: Master’s Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering. AML Designation such as CAMS, ACAMS preferred 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. Proficiency in computing development skills, particularly statistical and database modeling tools (Python, SAS, R, SQL, Matlab, Access/VBA etc.). Ability to adapt to various programming languages and environments. Advanced SAS proficiency is required Job Descriptions

Required Skills