Requisition ID: 273731
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Director and Head, Data, Models and AI provides strategic direction, leadership and oversight for AML data, models, and AI teams globally, ensuring AML strategies, plans, and initiatives are supported in compliance with governing regulations, internal policies, and procedures. Supports the Bank’s business strategy by proactively identifying risks to Keep Bank Safe. Leads the development of the data, models, and AI strategy and roadmap, mobilization of the data domain, and connects into critical transformation and remediation initiatives to provide input from a data, modeling, and analytics perspective.
Is this role right for you? In this role, you will:
- Lead and drive a client-focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
- Build and manage a team of data, modeling, and AI professionals. This team will take responsibility for building, testing, tuning, optimizing, and documenting a range of models as part of the Bank AML program.
- Anticipate deliverables include AI and machine learning models, and agents for ongoing monitoring, screening, and investigations aligned to AML Strategy – Data and Technology Target State vision.
- Ensures that model development framework complies with both internal and external standards.
- Work with various stakeholders, including the Enterprise Data Management Office and Enterprise Technology, to articulate the Enterprise-wide vision, strategy, and roadmap for the AML data domain and data product, which includes:
- Key initiatives required to mobilize the domain and sub-domains (e.g. Ongoing Monitoring, Screening, and Investigations).
- Link to other new and existing initiatives with heavy data requirements.
- Overall view on sequencing and timing of data, modelling and analytics initiatives.
- Defining data domain scope and structure, data elements / critical data elements, and data quality rules for data consumed by AML.
- Overseeing the process to establish business, technical, and operational metadata and data lineage for data belonging to the AML domain.
- Overseeing data quality management for data belonging to the AML domain and designing remediation plans.
- Executing data remediation plans with the appropriate team (e.g., frontline owners of applications, IT&S) as required.
- Enable data and data governance capabilities across the AML program:
- Understand what data is required.
- Ensure standard definitions across data elements and across CB, IB, Wealth and GBM.
- Provide oversight on data availability, and implementation of data quality controls.
- Ensure impact to existing data is identified and addressed in accordance with data standards.
- Collaborate closely with the Enterprise Data Office to ensure compliance with data management policies and standards.
- Participate in other assignments as directed by the VP, AML Data, Models and AI.
- Build a high-performance environment and implement a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; manage succession and development planning for the team.
- Direct day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicate the Bank’s risk culture and risk appetite statement throughout their teams.
- Create an environment in which the group 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 and Sanctions policies, and the Guidelines for Business Conduct.
Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:
- 10+ years in a management role.
- Understanding how data, models and AI enable AML business solutions/processes.
- Experience managing a team of modelers and developers.
- Experience with statistical modeling and data science methods.
- Understanding of data platforms, cloud solutions, and AML systems/solutions.
- Knowledge of AML business solutions / processes is preferred.
- Familiarity with data management and domain structure is preferred.
- Strong ability to influence/communicate with stakeholders across functions and at all levels (BU, IT, executives).
- Strong leadership and project management experience.
- Bachelor’s degree or higher in science, technology, engineering, or mathematics (all related fields that support data, modeling, and AI).
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. 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.