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Fraud Risk Manager Jobs in Toronto, ON (NOW HIRING)

Stripe

Data Scientist, Fraud

Toronto, ON

In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from ...

Loop

Head of Risk

Toronto, ON · On-site

CA$120K - CA$140K/yr

Translate emerging fraud and money laundering patterns into rule, policy, and product changes. Credit Risk & Collections * Manage credit decisioning workflows, monitor portfolio health, and surface ...

Purolator

Fraud Analyst

Mississauga, ON

... risk-management workflows is an asset. * Knowledge of fraud typologies, e-commerce fraud ... chargeback processes, fraud controls and/or investigative practices is preferred. Experience * Post ...

New

Purolator

Fraud Analyst

Mississauga, ON · On-site

... risk-management workflows is an asset. * Knowledge of fraud typologies, e-commerce fraud ... chargeback processes, fraud controls and/or investigative practices is preferred. Experience * Post ...

New

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Fraud Risk Manager information

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How much do fraud risk manager jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for fraud risk manager in Toronto, ON is $42.96, according to ZipRecruiter salary data. Most workers in this role earn between $24.55 and $56.66 per hour, depending on experience, location, and employer.

What does a fraud risk manager do?

A Fraud Risk Manager is responsible for identifying, assessing, and mitigating the risk of fraud within an organization. They develop and implement policies, procedures, and controls to prevent and detect fraudulent activities. Their work often involves analyzing data for suspicious patterns, investigating incidents of fraud, and providing training to staff on fraud prevention. Ultimately, they help safeguard the organization's assets and reputation by minimizing the impact of fraudulent activities.

What are the key skills and qualifications needed to thrive as a fraud risk manager?

To excel as a Fraud Risk Manager, you need expertise in fraud detection, risk assessment, and knowledge of financial regulations, often supported by a degree in finance, accounting, or a related field. Familiarity with data analytics tools, fraud management platforms, and certifications like CFE (Certified Fraud Examiner) are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across departments and respond swiftly to emerging threats. These skills and qualifications are vital for proactively identifying, mitigating, and preventing fraudulent activities that could harm an organization’s reputation and finances.

How does a fraud risk manager typically collaborate with other departments to mitigate risks?

Fraud Risk Managers work closely with multiple departments such as compliance, IT, internal audit, and customer service to identify, assess, and address potential fraud risks. They frequently coordinate with data analysts to monitor transactions for suspicious activity and partner with legal teams to ensure regulatory compliance. Regular cross-functional meetings and training sessions are common, allowing them to share insights, update protocols, and respond quickly to emerging threats. Effective communication and teamwork are essential, as fraud prevention is a collaborative effort across the organization.

What is the difference between Fraud Risk Manager vs Fraud Analyst?

AspectFraud Risk ManagerFraud Analyst
CredentialsCertifications like CFE, CRCM; Bachelor's degree in finance, accounting, or related fieldSimilar certifications; Bachelor's degree often required
Work EnvironmentOversees fraud prevention strategies, manages teams, develops policiesConducts investigations, analyzes data, detects fraud patterns
Industry UsageUsed in banking, finance, insurance, and retail sectorsCommonly employed in similar industries for fraud detection

The Fraud Risk Manager focuses on developing and overseeing fraud prevention strategies, managing teams, and implementing policies. In contrast, the Fraud Analyst primarily conducts investigations, analyzes data, and detects fraudulent activities. Both roles require similar credentials and are vital in fraud prevention within financial and retail sectors, but they differ in scope and responsibilities.

How much do fraud risk managers make in the US?

Fraud risk managers in the US typically earn between $80,000 and $130,000 annually, with median salaries around $100,000. Compensation varies based on experience, industry, and location, and professionals often hold certifications like Certified Fraud Examiner (CFE).

What cities near Toronto, ON are hiring for Fraud Risk Manager jobs?

Cities near Toronto, ON with the most Fraud Risk Manager job openings:

Fraud Risk Manager jobs near you
Infographic showing various Fraud Risk Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $89,348 per year, or $43 per hour.

Director, Fraud Data and Analytics

Toronto, ON • On-site

Scotiabank
Banking and Credit Intermediation • 10K+ employees
Learn more about Scotiabankexternal

Full-time

Retirement, PTO

Re-posted 19 days ago

Job description

Requisition ID: 264919 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team

The Global Fraud Technology team develops and manages enterprise fraud capabilities that protect Scotiabank, its customers, and its employees across all channels and products. The Fraud Data & Analytics organization is responsible for the data, analytics, intelligence, and AI foundations that power fraud detection, fraud response, scam prevention, investigations, and risk management capabilities across the Bank.

We partner closely with Fraud Operations, Fraud Strategy, Data Science, Risk Management, AML, Payments, Digital Banking, Enterprise Data Office, and Enterprise Technology teams to deliver trusted, scalable, and governed fraud data capabilities that support real-time decisioning, advanced analytics, machine learning, regulatory reporting, and operational insights.

  The Role

The Director, Global Fraud Technology - Fraud Data & Analytics is accountable for the strategy, delivery, governance, and operation of the Bank's fraud data and analytics ecosystem. This role leads teams responsible for fraud data platforms, feature engineering, data products, fraud intelligence capabilities, reporting and visualization platforms, model enablement services, and AI-driven analytical solutions.

The Director is responsible for ensuring fraud data is trusted, accessible, timely, secure, and governed while enabling advanced analytical capabilities that improve fraud detection effectiveness, customer protection, operational efficiency, and business decision-making.

The role works closely with business and technology leaders to define the future-state fraud data strategy and drive enterprise-wide adoption of modern data and AI capabilities.

  Key Accountabilities
Strategy & Leadership
  • Develop and execute the multi-year fraud data and analytics strategy aligned with enterprise fraud, risk, and technology objectives.
  • Define the target-state fraud data architecture and operating model supporting realtime and batch analytical workloads.
  • Establish strategic roadmaps for fraud data platforms, data products, AI enablement capabilities, and analytical services.
  • Partner with senior business and technology stakeholders to prioritize investments and define long-term analytical capabilities.
  • Drive innovation through the adoption of modern data platforms, advanced analytics, AI, and machine learning technologies.
  • Lead strategic vendor and technology partner relationships supporting fraud data and analytics capabilities. 

Fraud Data Platform Ownership 

  • Own the fraud data ecosystem supporting fraud detection, fraud response, investigations, scam prevention, and fraud intelligence functions.
  • Establish scalable and resilient data platforms supporting high-volume transactional and behavioral data processing.
  • Drive modernization initiatives involving cloud-native data architectures, streaming platforms, data lakes, and analytical environments.
  • Ensure seamless integration of internal and external fraud data sources across the enterprise.
  • Deliver high-quality, trusted, and governed fraud data assets for operational and analytical consumption.

Data Products & Feature Engineering
  • Lead development and management of enterprise fraud data products and reusable analytical assets.
  • Establish feature engineering capabilities supporting fraud detection models, AI solutions, and advanced analytics initiatives.
  • Build and maintain fraud-specific feature stores and analytical datasets.
  • Drive standardization, reuse, and scalability across fraud data assets.
  • Partner with business stakeholders to define and prioritize strategic data products.

Analytics & Fraud Intelligence
  • Deliver enterprise fraud intelligence capabilities that provide actionable insights into fraud trends, emerging threats, scam typologies, and customer risk.
  • Enable advanced analytical capabilities including network analytics, graph intelligence, behavioral profiling, anomaly detection, and predictive analytics.
  • Partner with Fraud Strategy and Fraud Operations teams to identify opportunities for fraud loss reduction and operational optimization.
  • Establish enterprise reporting and visualization capabilities supporting executive, operational, and regulatory reporting needs.
  • Drive analytical innovation through the application of AI and emerging technologies. 

AI & Model Enablement 

  • Provide technology platforms and services supporting fraud data science and machine learning teams.
  • Enable the full model lifecycle including development, deployment, monitoring, explainability, performance measurement, and governance.
  • Support deployment of AI-driven fraud capabilities across detection, response, and intelligence functions.
  • Establish MLOps and analytical operations capabilities that improve model reliability and scalability.
  • Partner with Model Risk Management and Validation teams to support governance requirements.

Data Governance & Risk Management
  • Establish and maintain data governance frameworks supporting fraud data assets.
  • Ensure compliance with regulatory requirements, privacy obligations, data retention standards, and information security policies.
  • Define and monitor data quality standards, controls, lineage, and stewardship practices.
  • Partner with Enterprise Data Office and Risk Management teams to strengthen fraud data governance and accountability.
  • Ensure appropriate controls exist around analytical models, reporting, and data usage.

Operational Excellence
  • Establish performance metrics, service-level objectives, and operational controls across fraud data platforms.
  • Drive continuous improvements in data quality, availability, timeliness, and operational efficiency.
  • Ensure platform resiliency, disaster recovery readiness, and operational support processes meet enterprise standards.
  • Manage portfolio budgets, vendor relationships, and strategic investments.
  • Deliver measurable business outcomes through improved data accessibility, analytical capabilities, and operational effectiveness.

Talent Leadership 

  • Build, lead, and develop high-performing teams across data engineering, analytics engineering, platform engineering, data management, and analytical enablement functions.
  • Coach and mentor senior managers, architects, and technical leaders.
  • Foster a culture of innovation, experimentation, continuous learning, and operational excellence.
  • Champion Agile delivery methodologies, DataOps, MLOps, and product-oriented operating models.
  • Develop succession plans and talent strategies for critical leadership and technical roles.

General
  • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Understands how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations in accordance with Scotiabank's Values, Code of Conduct, and Global Sales Principles while ensuring the adequacy, adherence to, and effectiveness of business controls relating to operational, compliance, AML/ATF/sanctions, conduct, model, and technology risk.
  What You Will Bring to Succeed Must Have
  • 10+ years of progressive technology leadership experience in data, analytics, AI, or enterprise platform organizations.
  • 5+ years of experience leading large-scale data and analytics platforms within financial services, fraud, risk, AML, or related domains.
  • 5+ years of leadership experience managing managers and multidisciplinary technical teams.
  • Deep expertise in modern data architectures, data engineering, streaming technologies, cloud data platforms, and analytical ecosystems.
  • Experience supporting machine learning, AI, and advanced analytics capabilities in production environments.
  • Strong understanding of fraud analytics, fraud intelligence, feature engineering, and model enablement concepts.
  • Experience implementing enterprise data governance, data quality, lineage, and stewardship programs.
  • Strong knowledge of cloud platforms, preferably Google Cloud Platform (GCP) and Azure.
  • Experience managing strategic roadmaps, budgets, vendor relationships, and transformation initiatives.
  • Strong executive communication and stakeholder management skills.
  • Experience operating within highly regulated financial services environments.
Nice to Have
  • Experience supporting fraud detection, fraud response, financial crime, AML, or cyber analytics functions.
  • Experience with graph databases, network analytics, fraud intelligence platforms, and behavioral analytics solutions.
  • Knowledge of MLOps, AI governance, model risk management, and analytical operations frameworks.
  • Experience with real-time streaming technologies and event-driven analytical architectures.
  • Understanding regulatory reporting, privacy requirements, and enterprise data governance frameworks.
  • Experience leading global teams across multiple geographies.

The Workplace

  • We are technology partners who help the business transform how our employees around the world work.  
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!  
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.  
  • We foster an environment of innovation and continuous learning.  
  • We care about our people, allowing them to design how they work to deliver amazing results.  
  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation.  
Scotiabank  

As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. 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.  

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Location(s):  Canada : Ontario : Torrance 
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.

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