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Title:  Manager, AML/ATF Models and Analytics

 

 

 

Requisition ID: 105171

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

 

This position contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.  Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.
 

Key Accountabilities:

 

  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Develop and enhance statistical models in support of Scotiabank’s AML/ATF activity.  Includes working on data acquisition, modeling, implementation and tuning strategies.  Anticipated deliverables include models for transaction alert generation and alert prioritization.  Will involve analyzing various alert metrics (eg, productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.
  • Design, develop and evaluate statistical models in cases where models cannot be developed from existing data.  Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
  • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

 

Experience / Education:

 

  • Experience with statistical modeling and data science methods
  • Experience programming in statistical languages such as Python, R.  Experience with databases such as Oracle or SQL Server, as well as Hadoop, Hive, Spark, and Pandas queries. General programming or shell scripting a plus.
  • Excellent interpersonal, communication (both oral and written), presentation and business writing skills. Experience with version control systems and workflows a plus.
  • AML/ATF experience or analytic knowledge
  • Bachelor’s degree or higher in science, technology, engineering or mathematics

 

This is a temporary role for 12 months.

 

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.


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