Manager, AML/ATF Models and Analytics (Bilingual Spanish/English)

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 Analyticsis responsible for developing and enhancing the Bank's AML/ATF Client Risk Rating models, and forperforming analytics on existing models.
This role contributes to the overall success of the Global Risk Management's AML/ATF team by analyzingexisting client risk rating models and creating more accurate client risk rating models. This will enhanceoperating efficiency, and help in ensuring that all goals, plans, and initiatives are executed / delivered insupport of the team's business strategies and objectives. Additionally, helps ensure that all activities areconducted 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/ATFclient risk rating models
• Performing data mining and analytics for the development and maintenance of the Bank's AML/ATFClient 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 andcomprehensive documentation related to AML/ATF client risk rating modeling
• Supporting communication with first and second lines of business and other stakeholders, andrecommending 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 modelsmeet all legal and regulatory requirements
• Maintaining up-to-date knowledge of regulatory requirements, advances in industry best practices anddevelopments in products and applications by vendors

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
• Master's degree or higher in science, technology, engineering or mathematics is strongly preferred. For exceptional candidates, Bachelor's only may be considered.

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.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Job Segment: Analytics, Compliance, Data Analyst, Internal Audit, Management, Legal, Bilingual, Data, Finance

Category

Banking, Finance and Insurance Information Technology