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Fraud Risk Manager Jobs in Ontario (NOW HIRING)

Worthland

$150K - $180K/yr

Lead Risk Manager, Payment Fraud Toronto Onsite | Full-Time | Hybrid after onboarding | Reports to CEO | LMIA / PNP sponsorship available About the Client Our client is one of Canada's fastest ...

Worthland

$150K - $180K/yr

Lead Risk Manager, Payment Fraud Toronto Onsite | Full-Time | Hybrid after onboarding | Reports to CEO | LMIA / PNP sponsorship available About the Client Our client is one of Canada's fastest ...

Lyft

Fraud & Risk Analyst

Toronto, ON · On-site

... risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and ... This person will work closely with Product Managers, Data Scientists and Engineers to mitigate and ...

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Fraud Risk Manager information

See Ontario salary details

$13

$45

$82

How much do fraud risk manager jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for fraud risk manager in Ontario is $45.01, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $59.38 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 in Ontario are hiring for Fraud Risk Manager jobs?

Cities in Ontario with the most Fraud Risk Manager job openings:

Fraud Risk Manager jobs near you
Infographic showing various Fraud Risk Manager job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $93,623 per year, or $45 per hour.

Lead Risk Manager, Payment Fraud

Hybrid

Worthland
See more jobs at Worthlandexternal

$150K - $180K/yr

Full-time

Re-posted 6 days ago

Job description

Lead Risk Manager, Payment Fraud

Toronto Onsite  |  Full-Time  |  Hybrid after onboarding  |  Reports to CEO  |  LMIA / PNP sponsorship available

About the Client

Our client is one of Canada's fastest-growing fintech platforms, transforming how consumers pay, save, and earn rewards through a single seamless app. The company processes over USD $100M in annual transaction volume (TPV) with a base of 250,000+ users across North America, and its proprietary, fully in-house technology stack supports 500+ leading retail and brand partners. Headquartered in the Greater Toronto Area with a growing presence in Silicon Valley, the company is currently scaling at 300% year-over-year and is expanding its financial product suite into new categories.

Role Overview

Risk management at this company is not a brake on growth — it is the engine that powers it. The Lead Risk Manager will own end-to-end fraud and payment risk strategy across a multi-currency, cross-border consumer payments ecosystem, building AI-driven detection systems that automate over 90% of fraud interception and free the team from manual review cycles.

This is a builder role for a Risk Leader with hacker instincts and raw analytical horsepower — someone who can reverse-engineer fraud loops, write production-grade SQL and Python, and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports directly to the CEO and operates as the strategic liaison to global payment processors and vendors.

Key Responsibilities

•     Define the rules, don't just follow them — Lead end-to-end financial risk strategies, from opportunity identification through design, testing, and post-production monitoring.

•     Build AI-driven defense — Develop user behaviour scoring, anomaly detection, and automated interception models using Python/Sklearn/XGBoost/LightGBM, and deploy them into the production risk stack.

•     Counter-strike fraud — Investigate anomalous activity in real time, perform root-cause analysis on chargebacks, and produce authoritative reports on emerging fraud trends across multi-currency and e-commerce flows.

•     Own the data layer — Independently query large datasets in SQL to surface fraud patterns, evaluate model performance, and inform strategy adjustments.

•     Strategic liaison — Act as the single point of contact between the company and external payment processors, card networks, and risk vendors, ensuring alignment on risk policy and incident response.

•     Set the standard — Establish the company's long-term risk operating framework as the platform scales TPV and enters new markets.

Must-Have Requirements

•     5+ years of professional experience, with a minimum of 3 years dedicated to fraud risk and at least 1 year specifically within the payments industry.

•     Hands-on experience identifying and defending against fraud across multi-currency, cross-border, and e-commerce payment environments.

•     Strong reverse-engineering and problem-solving instincts — able to anticipate attacks from a fraudster's perspective.

•     Expert-level SQL for independent querying of large transactional datasets; strong Python proficiency.

•     3+ years of hands-on experience building fraud detection models — feature engineering, training, evaluation, and production deployment.

•     Demonstrated proficiency with Python/R modeling frameworks: Sklearn, XGBoost, LightGBM.

•     Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement).

•     Based in or willing to relocate to the Greater Toronto Area for the onsite onboarding period.

Nice to Have

•     Prior experience at a top-tier payment processor, card network, or fintech with cross-border exposure.

•     Experience leading or mentoring a small risk / data team.

•     Familiarity with North American AML/KYC and consumer payment compliance frameworks.

Compensation & Logistics

•     Base Salary: CAD 150K to 180k

•     Bonus: Risk control performance bonus tied to fraud loss reduction and model deployment milestones.

•     Work Model: Hybrid in Toronto, with a paid 1–2 month onsite onboarding period at the Etobicoke office.

•     Reporting Line: Direct report to the CEO.

•     Immigration Support: Full LMIA and PNP employer sponsorship for top-tier candidates, including all associated costs.

•     Team: Work alongside payment industry veterans and a Harvard-affiliated founder defining the future of AI-driven financial security.

Why This Role

This is not a maintenance seat at a stagnant company. It is a builder seat at a Canadian fintech in hyper-growth, with direct CEO access, a real budget for AI tooling, and the autonomy to define the risk operating model from the ground up. For a senior risk professional who wants to operate as a general rather than an analyst, this is one of the most consequential fraud roles open in the Canadian market today.