Senior Manager, AML Models and Analytics - Client Risk Rating

Scotiabank; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Performance bonus

Employee Share Ownership Program

Pension Plan Matching

Health benefits from day one

Job summary

Scotiabank seeks a Senior Manager to lead AML Client Risk Rating model development and analytics. You will guide data scientists and partners, oversee documentation and governance, and ensure compliance with regulatory standards across AML programs.

Responsibilities include designing and enhancing CRR models, applying ML and statistical methods, and communicating findings to senior stakeholders in a regulated environment. Hybrid collaboration is common.

Qualifications

• Degree in STEM/Analytics or related field; advanced degree preferred.
• Extensive modeling, data science, ML, and risk analytics experience.
• Experience communicating model concepts to leadership and non-technical audiences.

Responsibilities

• Lead design, development, and maintenance of AML Client Risk Rating models.
• Oversee modeling techniques from statistics to AI/ML for risk-based ratings.
• Provide guidance to data scientists and cross-functional partners.
• Document model methodology, results, and governance evidence.
• Collaborate with Validation, Audit, Technology, Data, Privacy, Compliance.

Skills

Python programming

SQL querying

Data science methods

Machine learning

Statistical modelling

Model governance

Regulatory risk

Stakeholder management

Team leadership

Communication skills

Education

Bachelor's degree in STEM/Analytics

Master's degree preferred

Tools

Hadoop

Spark

BigQuery

TensorFlow / Keras / PyTorch

GCP

Linux

Git

Job description

Select how often (in days) to receive an alert:

Select how often (in days) to receive an alert:

Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Title: Senior Manager, AML Models and Analytics - Client Risk Rating

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 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.