AML Model Validation Manager

2 weeks ago

Toronto, Ontario, Canada Scotiabank Full time
About the Role

The AML Model Validation Manager will be responsible for ensuring the ongoing effectiveness of the AML model validation program at Scotiabank. This involves independently executing data management and model quality assurance testing/validation work according to the AML model validation frameworks.

Key Responsibilities
  • Model Validation: Perform individual validation of AML models across the enterprise, including transaction monitoring, client risk rating, sanction screening, watch list, etc.
  • Deliverables: Deliver model validation solutions according to work plans, find and execute data verification and quality assurance assessments, and model implementation tests.
  • Reporting: Review and provide opinions on the soundness and use of the model, develop thorough model validation reports based on the plan, procedures, and requirements.
  • Documentation: 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.
  • Stakeholder Management: Assist the team to effectively dispute model developers and stakeholders, provide assist to resolve outstanding audit and regulatory issues, and respond to ad hoc senior management and regulatory requests.
Requirements
  • 1+ year of experience in data management or data architect, with familiarity and comfort handling 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 proficiency in programming languages, 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 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.

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