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

Snaplii

Senior/Lead Risk Analyst, Payment fraud

Toronto, ON · On-site

$150K - $200K/yr

Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control. * Act as a liaison between the company and ...

Altis Technology

Fraud Solutions Architect

Toronto, ON · On-site

$120 - $160/hr

Demonstrated experience designing scalable fraud detection, prevention, and risk management solutions. * Strong understanding of fraud controls, scoring engines, data flows, member journeys, and ...

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Meridian Credit Union

Fraud Analyst

Toronto, ON · On-site

Maintain and create documentation of risk-management frameworks, controls, systems, models, and ... Support the Fraud Management & Corporate Security team leadership on: * the development of ...

Interac Corp.

Fraud Analyst (Part-Time)

Toronto, ON · Hybrid

By evaluating high-risk transactions and managing customer escalations, Fraud Analysts play a critical role in maintaining the safety and security if Interac products. Acting as the primary point of ...

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Fraud Risk Manager information

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$13

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How much do fraud risk manager jobs pay per hour?

As of Jul 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.

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 are the key skills and qualifications needed to thrive as a Fraud Risk Manager, and why are they important?

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.

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.

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 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 July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 31% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $89,348 per year, or $43 per hour.
Senior/Lead Risk Analyst, Payment fraud

Senior/Lead Risk Analyst, Payment fraud

Snaplii

Toronto, ON • On-site

$150K - $200K/yr

Full-time

Posted 11 days ago

Job description

Location: Toronto, Canada / On-site

Department: Risk & Payments

Compensation: $150K-$200K

About the Role
We are seeking a strategic and data-driven fraud and risk leader to join our Risk & Payments team. This role will shape and implement cutting-edge risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. The ideal candidate has direct experience in payment fraud detection and prevention, with the ability to spot fraudulent transactions and translate fraud patterns into scalable, data-driven solutions. This role requires a balance of hands-on fraud investigation, SQL-driven analytics, and collaboration with product and engineering teams to design and implement automated fraud controls.

Key Responsibilities

  • Lead the end-to-end development and execution of financial risk strategies-from opportunity identification to design, testing, launch, and post-production performance monitoring.

  • Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns

  • Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks

  • Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.

  • Act as a liaison between the company and payment processors/vendors, with strong communication skills to speak the industry language, manage vendor relationships, and ensure effective alignment on fraud and risk management.

Qualifications

  • The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Snaplli's business.

  • At least 5 years of professional experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.

  • Experience working with variety of payment methods in multi-currency environment ideally in e-commerce or related industry.

  • Strong data modeling skills (3+ years): hands-on experience building fraud detection models, user behaviour scoring systems, and transaction anomaly detection models, including feature engineering, model training, evaluation, and deployment.

  • Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.

  • Ability to integrate models with risk systems to enable automated, model-driven fraud prevention workflows.

  • Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.

  • SQL proficiency (must-have) - able to independently query and analyze large datasets. Python (good-to-have).

  • Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor's degree in Engineering, Computer Science, Statistics, Finance, or a related analytical/technical field.

  • Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster's perspective.

  • Proficiency in Mandarin Chinese is an asset.

Why Join Us
About Snaplii
Snaplii is one of Canada's fastest-growing fintech platforms, transforming how people pay, save, and earn rewards. With over $100M in annual transaction volume and 250,000+ users across North America, we deliver unmatched utility and loyalty through a single seamless app.

We've ranked as high as #5 on the Apple App Store during peak shopping seasons, and consistently remain in the Top 80-driven by a highly engaged, high-retention user base. As the most payment-flexible platform in the space, Snaplii supports a wide range of digital payment methods and partners with 400+ leading brands, including Walmart, Amazon, and Esso.

Our platform is fully built and maintained in-house-engineered to handle complex payment flows, scale with demand, and support a growing suite of financial products. We're actively expanding into new digital finance offerings to help users create, manage, and grow value in their everyday lives.

Join us as we shape the future of everyday spending.

Employment Type: FULL_TIME

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