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

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 ...

Tipalti

Fraud Prevention Analyst

Toronto, ON · Hybrid

As a Fraud Prevention Analyst you will play a crucial role in ensuring Tipalti mitigates and proactively manages any risk related to Fraud. Your responsibilities are to monitor Tipalti accounts ...

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Fraud Risk Manager information

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$13

$42

$78

How much do fraud risk manager jobs pay per hour?

As of Jun 22, 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 is the highest salary for a Risk Manager?

The highest salaries for Fraud Risk Managers can exceed $130,000 annually, especially for those with extensive experience, advanced certifications, or working in high-cost regions. Senior risk managers or those in leadership roles may earn even higher compensation, including bonuses and incentives.

Is fraud risk a good career?

A career as a Fraud Risk Manager involves identifying and preventing financial crimes, requiring skills in data analysis, investigation, and knowledge of compliance standards. It is a growing field with opportunities across various industries, often requiring certifications such as Certified Fraud Examiner (CFE). The role offers stability and advancement potential for those with strong analytical and problem-solving abilities.

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 potential fraud risks within an organization. They develop and implement fraud prevention strategies, monitor transactions for suspicious activity, and ensure compliance with relevant regulations, often using data analysis tools and risk assessment techniques. This role requires strong analytical skills and knowledge of fraud detection methods.

What is the highest paying risk management job?

The highest paying risk management roles are often senior positions such as Chief Risk Officer (CRO) or Director of Risk Management, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced certifications like FRM or CRM, and strong leadership skills in financial or corporate environments.
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 June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $89,348 per year, or $43 per hour.

Senior Fraud Strategy Lead - Multi-Currency Wallet

Snaplii

Toronto, ON

$150K - $250K/yr

Full-time

Posted 6 days ago

Job description

At Snaplii, risk management isn't a "brake" on growth-it's the "supercharger" that enables our 300% explosive expansion. We aren't looking for analysts who just read reports; we want strategists who can reverse-engineer fraud loops and command AI to automatically sever risks.

About Snaplii

Snaplii is one of Canada's fastest-growing fintech platforms, with $100M+ in annual transaction volume and 350,000+ users across North America, Snaplii connects consumers with 500+ leading brands across everyday categories - enabling smarter spending with instant savings and rewards.

Today, Snaplii is evolving beyond a digital wallet into infrastructure for AI-native commerce - enabling secure, programmable transactions between users, brands, and AI agents.

AI drives demand. Snaplii executes the transaction.


About the Role
We are looking for a Risk Leader with deep fraud expertise and raw analytical horsepower. 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.

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

  • Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries.

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

  • 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.

  • 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 but not required.

Why Join Us

  • Building AI-Native Payments

    • Powering how AI agents transact in the real world.

  • Explosive Growth

    • 300%+ revenue & TPV growth in 2025, with accelerating momentum into 2026.

  • Small Team, Massive Scale

    • <40 people. A lean & high-performance team where every decision moves revenue, risk, and user experience.

  • AI-First Engineering Culture

    • 90%+ of code is AI-assisted. Engineers focus on architecture and complex problems

  • Direct Access to the AI Frontier

    • Connect with leading AI companies in Silicon Valley, gaining first-hand exposure to cutting-edge advancements.

Employment Type: FULL_TIME

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