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Manager, Aml/atf Models and Analytics
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Requisition ID: 152543 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The **Manager, AML/ATF Models and Analytics** is responsible for developing and enhancing the Bank's AML/ATF Client Risk Rating models, and for performing analytics on existing models. This role contributes to the overall success of the Global Risk Management’s AML/ATF team by analyzing existing client risk rating models and creating more accurate client risk rating models. This will enhance operating efficiency, and help in ensuring that all goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Additionally, helps ensure that all activities are conducted in compliance with governing regulations, internal policies and procedures. **This is a temporary one-year contract role.** **Key Job Accountabilities**: - Supporting the design and maintenance of AML/ATF client risk rating models for the Bank's AML/ATF client risk rating models - Performing data mining and analytics for the development and maintenance of the Bank's AML/ATF Client Risk Rating models - Performing research on applicable methodologies for AML/ATF client risk rating modeling - Supporting implementation and maintenance of a rigorous framework of internal controls and comprehensive documentation related to AML/ATF client risk rating modeling - Supporting communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate - Supporting communication with model users to ensure that model limitations are properly understood, and that models are not mis-used. - Creation of and maintenance of documentation for models and for the results data analysis. - Working with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements **Skills, Experiences and Functional Competencies**: - Bilingual in Spanish and English - Experience with statistical modeling and data science methods - Experience with programming in Python (preferred) or R - Experience with querying data using SQL or any SQL-like language - Experience with Apache Spark in any form - AML/ATF experience or analytic knowledge is an advantage - Experience with either linux and/or git is an advantage - Experience with lower-level programming languages (C/C++, Java, Scala) is an advantage Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
