Senior Manager, Compliance and AML, Data Analytics

Scotiabank•Toronto, ON

6d•Onsite

About The Position

The Senior Manager, AML Data Analytics is accountable for leading the design, delivery, and evolution of AML risk analytics, management information, and data-driven insights that support effective 2nd Line AML oversight across the Bank’s global footprint. The role provides strategic and execution leadership across a broad set of 2nd Line AML Program pillars supported by AML Data Analytics and is accountable for overseeing a large and growing portfolio of AML analytics solutions. This includes supporting regional and enterprise-wide deployments, integrating new and evolving capabilities into the operating model, and ensuring the sustainability of analytics solutions transitioned into business-as-usual operations. The role is critical to sustaining high-quality BAU delivery, advancing data automation and infrastructure initiatives, strengthening quality control and model performance oversight, and mitigating operational and key-person risk within an increasingly complex AML analytics environment. In addition, the Senior Manager contributes to the overall success of the Compliance and AML team by ensuring individual and team goals, plans, and initiatives are delivered in alignment with business strategies and objectives. The role ensures that all activities are conducted in full compliance with applicable regulatory requirements and internal policies, procedures, and governance standards, while promoting a strong risk culture and effective AML oversight.

Requirements

University degree or equivalent, with a minimum of 8–10 years of progressive experience in financial services, preferably within a global or matrix organization, with a strong focus on AML, financial crime risk management, or regulatory risk oversight.
Demonstrated experience leading enterprise-scale AML analytics and reporting functions, including ownership of business-as-usual (BAU) delivery, executive reporting, and regulatory-driven analytics.
Proven experience supporting multiple 2nd Line AML Program pillars, such as regulatory compliance management, risk assessment, monitoring and testing, issues management, ongoing monitoring, client risk rating, transaction monitoring, investigations, and suspicious activity reporting.
Strong track record of managing and evolving large portfolios of production analytics solutions (e.g., dashboards, metrics, model performance reporting) across multiple jurisdictions.
Experience leading the transition of new analytics capabilities into BAU operations, including migration of scenarios, onboarding of new jurisdictions, and integration of new regulatory or program requirements.
Demonstrated ability to deliver complex initiatives involving data access, infrastructure modernization, reporting automation, and platform migrations, while maintaining quality, timeliness, and regulatory confidence.

Nice To Haves

Certified Anti-Money Laundering Specialist designation is an asset.

Responsibilities

Lead and manage the day-to-day BAU activities while driving continuous improvement in data quality, efficiency, and analytical maturity.
Provide coaching, guidance, and technical leadership to develop a high-performing, inclusive analytics team aligned with the AML Risk vision and enterprise risk culture.
Act as a strategic partner to 2nd Line AML Program pillar owners, and enterprise AML Risk partners to enhance risk reporting and oversight.
Design, maintain, and enhance AML risk dashboards, metrics, and reporting frameworks to support executive-level decision making and regulatory oversight.
Lead advanced data analysis across large, complex, and disparate datasets to identify trends, patterns, and emerging risks related to volumes, productivity, conversion ratios, and control effectiveness.
Translate raw data into meaningful business insights that inform risk assessments, risk appetite monitoring, and tailored risk mitigation strategies.
Develop and implement scalable, automated analytics solutions that improve consistency, transparency, and timeliness of AML reporting.
Drive the use of modern analytics and visualization tools (e.g., Power BI) and strong database capabilities (e.g., SQL, Oracle) to support AML risk monitoring and management information.
Oversee data sourcing, transformation, validation, and quality assurance processes to ensure accuracy, completeness, and auditability of AML metrics.
Support the ongoing evolution of AML data infrastructure and reporting capabilities in line with regulatory expectations and enterprise standards.
Embed the Bank’s risk appetite, risk culture, and AML/ATF regulatory expectations into analytics design and reporting.
Support identification of systemic issues, emerging risks, and control gaps, and recommend data-driven solutions in collaboration with senior management.
Ensure analytics and reporting practices meet internal governance standards and external regulatory expectations across jurisdictions.