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Banking Analyst Financial Compliance

Senior Manager, AML Model Validation, Global Risk Management

Job in Toronto, Ontario, C6A, Canada
Listing for: Scotiabank
Full Time position
Listed on 2026-01-01
Job specializations:
  • Finance & Banking
    Banking Analyst, Financial Compliance
Salary/Wage Range or Industry Benchmark: 85900 - 168600 CAD Yearly CAD 85900.00 168600.00 YEAR
Job Description & How to Apply Below

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Requisition : 243435

Salary Range:85,.00

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Model Validation & Approval area provides independent and consistent model validation and approval across various risk types, including market risk, retail/non-retail credit risk, operational risk, capital models, AML, Fraud, and other key risk/financial models. The Senior Manager provides support and execution within AML Model Validation team to ensure that Scotiabank is maintaining ongoing effectiveness of the AML & Fraud model validation program.

The incumbent will be independently executing data management and model quality assurance testing/validation work according to the AML & Fraud model validation frameworks. The candidates will provide continuous support to the department by implementing successful AML & Fraud model validation strategies within the bank.

In this role, you will:
  • Perform independent validation of AML & Fraud models across the enterprise, including the vertical functions of (but not limited to), transaction monitoring, client risk rating, sanction screening, watch list, fraud scoring, machine learning, etc.
  • Support Director to develop and create AML & Fraud model validation plans and reports.
  • Deliver validation work assignments according to work plan; determine and execute data verification and quality assurance assessments and model implementation tests; identify material improvement opportunities in the model inputs being validated.
  • Review and provide opinions on the soundness and use of the model; develop thorough model validation reports. Prepare all necessary documentation related to validation assignments; ensure accuracy and completeness of archived information and related documentation to allow independent third party review of the validation work performed.
  • Provide AML & Fraud subject matter advisory support to all work streams as needed.
  • Assist Director to provide guidance to junior staff, as needed, and conduct verification on the deliverables before submission.
  • Develop and maintain work relationship with key counterparts and stakeholders as identified for each validation request.
  • Comply with internal policies, procedures and regulatory requirements where applicable.
  • Provide active and direct support to resolve outstanding audit and regulatory issues and to respond to ad hoc senior management and regulatory requests.
  • Keep abreast of changes in AML & Fraud related regulatory requirements and evolving expectations within the industry; provide ongoing peer benchmarking support.
    • Do you have the skills that will enable you to succeed in this role? - We’d love to work with you if you have:

    Experience:
    • 5+ year of experience in the data management or data architect, with familarity and be comfortable to handle large data
    • 5+ year of experience in model development and/or validation.
    • Working knowledge and exposure of AML & Fraud related regulatory requirements is preferred.
    Required Functional (Technical)

    Competencies:
    • 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; proven ability to employ these to analyze large sets of data.
    • Strong proficient in programming language, such as SQL, SAS, R, Python, VBA, etc.
    • Experience with Oracle Mantas AML solutions will be an asset.
    • Strong knowledge of the AML & Fraud regulatory landscape, specifically with respect to AML & Fraud models and tools.
    • Effective time management in order to efficiently deliver concurrent projects with competing 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…
    Position Requirements
    10+ Years work experience
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