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Manager, Ai and Machine Learning
3 weeks ago
Requisition ID: 168147
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
**Purpose**
This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives, and ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.
**Accountabilities**
- Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance the model performance for AML/ATF and ABAC models
- Participate with, the model development teams to scope, understand and appropriately document AML/ATF risk, develope and update statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
- Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML program
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
- 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.
- Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
**Skills / Experience**
Experience with statistical modeling and data science methods
Experience programming in Python, Scala, R and C++. Experience with databases such as Oracle or SQL Server
AML/ATF (including ABAC) experience or analytical knowledge
**Education**
Master’s degree or higher in science, technology, engineering or mathematics
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.
