Manager, AML Model Validation

Requisition

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 and other key risk/financial models. The Manager provides support and execution within the AML Model Validation team to ensure that Scotiabank is maintaining ongoing effectiveness of the AML model validation program. The incumbent will be independently executing data management and model quality assurance testing/validation work according to the AML model validation frameworks.

The candidate will provide continuous support to the department by implementing successful AML model validation strategies within the bank.

• Perform independent validation of AML models across the enterprise, including transaction monitoring, client risk rating, sanction screening, watch list, etc.
• Deliver model validation solutions according to work plans; 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 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 independent third party review of the validation work performed.
• Support the team to effectively challenge, pursuant to model requirements, model developers and stakeholders.
• Provide support to resolve outstanding audit and regulatory issues, and to respond to ad hoc senior management and regulatory requests.

• 1+ year of experience in data management or data architecture, with familiarity and ability 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; proven ability to employ these to analyze 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 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 stakeholders.
• Effective presentation and communication skills; strong written skill is essential.
• Ability to manage efficiently multiple priorities.
• Attention to detail, 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.

• An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We offer a competitive rewards package: performance bonus, employee share ownership program, and pension plan matching, health benefits from day one!
• Your career matters! You will have access to career development and progression opportunities.

Location(s):
Canada :
Ontario :
Toronto