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AML Model Validation Manager

2 months ago


Toronto, Ontario, Canada Scotiabank Full time
About the Role

The Model Validation & Approval area provides individual and consistent model validation and approval across various risk types, including market risk, retail/non-retail credit risk, operational risk, capital models, AML and other key risk/financial models.

Key Responsibilities
  • Perform individual validation of AML models across the enterprise, including the vertical functions of (but not limited to), transaction monitoring, client risk rating, sanction screening, watch list, etc.
  • Liable for delivering model validation solution according to work plan; find and execute data verification and quality assurance assessments and model implementation tests; identify material improvement opportunities in the model inputs being confirmed.
  • Review and provide opinions on the soundness and use of the model; develop thorough model validation reports based on the plan, procedures and requirements.
  • Prepare all necessary documentation related to validation assignments; ensure accuracy and completeness of archived information and related documentation to allow individual third party review of the validation work performed.
  • Assist the team to effectively dispute, pursuant to the model requirements, model developers and stakeholders.
  • Provide assist to resolve outstanding audit and regulatory issues, and to respond to ad hoc senior management and regulatory requests.
Requirements
  • 1+ year of experience in the data management or data architect, with familiarity and be comfortable to handle large data.
  • 1+ year of experience in model development and/or validation.
  • Working knowledge of AML related regulatory requirements is preferred.
  • Ability to effectively utilize relational databases for data analysis and write complex SQL queries.
  • Proficiency in constructing and executing distributed queries from a variety of databases/sources is required.
  • Strong experience or background in data analysis and statistical techniques; successful ability to employ these to assess large sets of data.
  • Strong proficient in programming language, such as SQL, SAS, R, Python, VBA, MATLAB, etc.
  • Experience with Oracle Mantas AML solutions or knowledge of AML models and tools will be an asset.
  • Effective time management in order to efficiently deliver concurrent projects with contesting priorities.
  • Ability to work independently as well as a team player to deliver work assignments.
  • Constructive conflict management ability; ability to collaborate effectively with counterparts and stakeholders.
  • Effective presentation and communication skills; Strong written skill is essential.
  • Ability to manage efficiently multiple priorities.
  • Attention to details, independence, and ability to effectively collaborate in teamwork.
  • Flexibility and creativity in problem solving.
  • Advanced degree in quantitative disciplines, for example, Statistics, Mathematics, Economics, Engineering, Computer Science.
  • Certified Anti-Money Laundering (CAMS) designation is an asset.