Senior Manager, AML Models and Analytics - Credit Risk Rating

Socket.dev; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

Scotiabank is seeking a strategic Senior Manager to lead AML Client Risk Rating model development and analytics, guiding data scientists and cross-functional partners in a regulated environment. You will design, enhance, implement, and govern data-driven CRR solutions to strengthen risk assessment and regulatory compliance.

The role requires deep expertise in statistics, ML, model governance, and financial crime risk management, with strong communication skills to translate complex findings to

Job description

Requisition ID: 272476
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

We are seeking a strategic, highly analytical, and experienced Senior Manager to lead model development and analytics initiatives within AML Models and Analytics, with a focus on Client Risk Rating (CRR). The ideal candidate will have deep expertise in data analysis, statistical modelling, machine learning, model governance, and financial crime risk management, with the ability to lead complex analytical work and translate model insights into practical, risk-based recommendations.

The Senior Manager will be responsible for leading the design, enhancement, implementation, and ongoing maintenance of data-driven solutions supporting the Bank's AML Client Risk Rating models. This role contributes to the overall success of the Global Compliance and AML team by improving CRR model effectiveness, strengthening operating efficiency, and ensuring activities are conducted in compliance with governing regulations, internal policies, procedures, and model governance requirements.

Is this role right for you? In this role, you will:

• Lead the design, development, enhancement, maintenance, and implementation of AML Client Risk Rating models and related analytics in support of Scotiabank's AML program.
• Apply and oversee a range of modeling techniques, from statistical models to advanced analytics, AI, and machine learning, to support risk-based Client Risk Rating case generation and customer risk assessment.
• Provide leadership and technical guidance to data scientists, analysts, and cross-functional partners involved in CRR model development, testing, monitoring, and implementation activities.
• Oversee the creation and maintenance of comprehensive documentation for model methodology, assumptions, limitations, analytical results, testing outcomes, monitoring, and implementation evidence.
• Collaborate and coordinate with Model Validation, Internal Audit, External Audit, Technology, Data, Privacy, and Compliance stakeholders to ensure CRR models meet legal, regulatory, internal policy, and model governance requirements.
• Communicate complex data findings, model results, limitations, and recommendations to technical and non-technical stakeholders, including senior management and governance forums.
• Lead communication with first and second lines of business and other stakeholders, recommending changes to AML Client Risk Rating models where appropriate based on analytical evidence, model performance, and risk considerations.
• Ensure model users understand model limitations, appropriate use, governance requirements, and the operational impacts of model changes.
• Support prioritization, planning, and execution of CRR model initiatives, including remediation, modernization, optimization, and regulatory or audit-driven deliverables.
• Monitor emerging regulatory expectations, industry practices, data science methods, and financial crime risk trends to support continuous improvement of the CRR model framework.

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

• Bachelor's degree or higher within STEAM, Science, Technology, Engineering, Analytics, or Mathematics, statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling, or a related field.
• Master's degree or higher in a quantitative, technology, analytics, financial crime, or risk-related discipline is preferred.
• Fluency in English is required. Fluency in both English and Spanish is preferred.
• Experience in financial services, AML, compliance, risk management, model development, model validation, audit, or regulatory-facing environments is preferred.
• Extensive experience with statistical modeling, data science methods, machine learning, and advanced analytics, with demonstrated ability to oversee model development and implementation in a regulated environment.
• Strong programming experience in Python, including familiarity with data science, machine learning, and visualization libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2, or similar tools.
• Advanced experience querying and analyzing data using SQL or SQL-like languages, with familiarity using large-scale structured and unstructured datasets.
• Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, BigQuery, or other distributed computing frameworks.
• Experience with cloud-based infrastructure and tools, specifically GCP, and familiarity with Linux, Git, BitBucket, or comparable development environments is beneficial.
• Knowledge of deep learning frameworks such as TensorFlow, Keras, PyTorch, or Vertex AI is an asset.
• Strong understanding of AML, financial crime risk, Client Risk Rating, model governance, and model risk management expectations is preferred.
• Demonstrated ability to lead analytical teams, manage priorities, coach technical resources, and deliver complex initiatives in a hybrid, cross-functional environment.
• Strong written and oral communication skills, including the ability to explain complex model concepts, risks, assumptions, and limitations to senior stakeholders and non-technical audiences.
• Strong stakeholder management, collaboration, problem-solving, and influencing skills, with the ability to balance regulatory expectations, business needs, and technical considerations.

What’s in it for you?

• The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
• An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
• Your career matters! You will have access to career development and progression opportunities.
• An organization committed to making a difference in our communities - for you and our customers.

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 our 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.

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.