Requisition ID: 267328
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 maintaining models and providing descriptive, predictive, and prescriptive analytics to fulfill the Transaction Monitoring obligation under the AML/ATF framework of Scotiabank.
This position carries responsibility for the timely and accurate development of AML models. The testing, reviewing and validation activities include but is not limited to creating model documentation, following the AML and Enterprise Modeling Governance standards; stating key assumptions, including qualitative and expert judgment, logic and conceptual soundness; conducting various tests.
This role contributes to the overall success of the AML/ATF Models and Analytics 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.
Is this role right for you? In this role, you will:
- Develop and enhance statistical / machine learning models in support of Scotiabank’s AML/ATF activities. Work with data from different sources and of various nature (customer, product, transaction, etc.) to detect suspicious behavior patterns which are indicative of Money Laundering. Anticipated deliverables include models for transaction monitoring alert generation and alert prioritization. Will involve analyzing various alert metrics (e.g., productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.
- Design, refine, and optimize instructions for AI agent solutions to guide generative AI models, especially large language models (LLMs), to produce desired, high-quality output.
- Participate in all stages of the model life cycle, including data acquisition, exploratory analysis and engineering for model input, development and iteration for optimal models, deployment of model into production environment, post-implementation monitoring, and periodic model tuning.
- Collaborate with other stakeholders on model design and utilization. Leverage data expertise to assist with the translation of business requirements to technical specifications, identify and bridge any gap between objectives and implementation, and recommend the appropriate usage of models.
- Support implementation and maintenance of a rigorous framework of internal controls related to AML/ATF models. Create and maintain comprehensive model documentation. Work with Model Validation, Internal and External auditors to ensure that models meet all legal and regulatory requirements.
- Actively pursue 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.
- Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
- Support implementation and maintenance of a rigorous framework of internal controls related to AML/ATF models. Create and maintain comprehensive model documentation. Work with Model Validation, Internal and External auditors to ensure that models meet all legal and regulatory requirements.
Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:
- Master’s degree or higher in mathematics, statistics, science, technology, or engineering is strongly preferred. Only for exceptional candidates, Bachelors may be considered
- 2+ years of experience with statistical / machine learning modeling and/or AI agent solutions, and data science methods
- 5+ years of experience in Python and SQL. Experience with databases such as Oracle or SQL Server
- Experience with big-data platforms (Hadoop, Hive, Spark), and Pandas queries.
- Experience with cloud-based data platforms such as Google Cloud or Azure is an asset.
- Experience with shell scripting and version control systems is an asset.
- Solid knowledge of algorithms and data structure is an asset.
- AML/ATF experience or related-analytic knowledge with financial institution is an asset.
- Excellent interpersonal, communication (both oral and written), presentation, and business writing skills.
What's in it for you?
- Champion a high-performance environment and contribute to an inclusive work environment.
- The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
- A competitive compensation and comprehensive benefits plan.
- An organization committed to making a difference in our communities - for you and our customers.
- You can expect to be recognized and rewarded for high-performance; you will be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development.
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. 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.
