Manager, AML/ATF Screening Models and Analytics, Global AML

Scotiabank; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Scotiabank in Toronto is seeking a Manager of AML/ATF Models and Analytics to lead advanced predictive modelling and AML/ATF rule development for client and payment screening. You will own end-to-end analytics, model governance, and translate complex outputs for senior stakeholders.

The role requires collaboration with technology, data, risk, and compliance teams, delivering dashboards (Power BI) and measurable improvements in model performance and alert quality.

Qualifications

• Bachelor's degree or higher in Data Science, Statistics, Mathematics, Engineering, Computer Science, or another quantitative discipline.
• Strong technical proficiency in SQL and Python, with hands-on experience extracting, transforming, and analyzing large datasets to support analytics and model development.
• Experience designing, developing, testing, tuning, and implementing analytical, statistical, and/or machine learning models.
• Experience working with AML/ATF, financial crime, screening, fraud, risk analytics, or other regulated domains is asset.

Responsibilities

• Lead data extraction, transformation, and advanced analysis using Python (pandas, numpy) and SQL to support scalable analytics and model development.
• Design, develop, test, tune, and implement statistical and ML models, including AML/ATF client and payment screening rules.
• Conduct data profiling and analysis to identify data quality gaps and enrichment opportunities.
• Evaluate screening system effectiveness, identify risks and performance issues, and provide recommendations.
• Develop analytical views or dashboards (Power BI) to communicate trends and model performance to senior stakeholders.

Skills

SQL

Python

Power BI

Data analysis

Model development

AML/ATF domain knowledge

Stakeholder communication

Autonomy

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Job description

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 applying sophisticated predictive/analytical modelling techniques and latest AML/ATF rules and scenarios to new models AND for enhancing the performance of existing Client and Payment Screening models. This role contributes to the overall success of the Global Compliance and AML team by ensuring specific individual goals, plans, and initiatives are delivered in support of the team’s business strategies and objectives. Also ensures all activities conducted follow governing regulations and internal policies and procedures.

Is this role right for you?

In this role, you will:

• Lead data extraction, transformation, and advanced analysis using Python (pandas, numpy, ML libraries) and SQL to support scalable analytics and model development.
• Design, develop, test, tune, and implement statistical and machine‑learning models, including AML/ATF client and payment screening rules and models.
• Conduct in‑depth data profiling and analysis of client and payment source data to identify data quality gaps, enrichment opportunities, and predictive modeling enhancements.
• Evaluate the effectiveness of screening systems and models, identifying risks, gaps, and performance issues, and provide clear, prioritized recommendations for improvement.
• Identify and demonstrate measurable value in opportunities to improve model efficiency, effectiveness, and alert quality through analytical and modeling enhancements.
• Translate complex analytical and modeling outputs into clear, actionable insights for both technical and non‑technical stakeholders.
• Produce high‑quality model documentation to support model development, validation, governance, and audit requirements.
• Properly identify, report, and elevate issues that may impact the AML/ATF program resulting from model performance, system functionality, data issues, or application changes.
• Apply hands‑on experience with AML/ATF screening platforms to support model tuning, alert optimization, and performance analysis.
• Develop analytical views, reports, or dashboards (e.g., Power BI) to communicate trends, model performance, and risk insights to senior stakeholders.

Skills

Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:

• Bachelor's degree or higher in Data Science, Statistics, Mathematics, Engineering, Computer Science, or another quantitative discipline.
• Strong technical proficiency in SQL and Python, with hands‑on experience extracting, transforming, and analyzing large, complex datasets to support advanced analytics and model development.
• Experience designing, developing, testing, tuning, and implementing analytical, statistical, and/or machine learning models.
• Experience working with AML/ATF, financial crime, screening, fraud, risk analytics, or other highly regulated domains is considered an asset.
• Ability to operate with a high degree of autonomy, independently leading complex analytical and modeling initiatives end‑to‑end while engaging appropriate stakeholders when required.
• Strong analytical and critical thinking skills, with the ability to translate detailed data insights into meaningful business, risk, and regulatory outcomes.
• Demonstrated ability to collaborate effectively across cross‑functional teams, including technology, data, business, operations, and governance stakeholders.
• Excellent written and verbal communication skills, with the ability to clearly communicate complex technical concepts to senior management, audit, and regulatory audiences.
• Strong understanding of systems architecture, data flows, upstream/downstream dependencies, and interactions across multiple technology platforms.
• Proven ability to manage multiple concurrent initiatives and competing priorities in a fast‑paced environment.
• Sound judgment and decision‑making skills within a high‑risk, highly regulated AML/ATF environment, balancing innovation, risk management, and governance expectations.
• Experience with AML/ATF screening platforms, model governance, validation, audit support, or regulatory compliance activities is considered an asset.
• Experience developing dashboards and reporting solutions using tools such as Power BI is considered an asset.

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.
• We are currently hiring for three positions in this role*

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. 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.