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

Transak

Senior Product Manager, Risk

Toronto, ON · On-site

$100 - $130/hr

Role Overview We see Risk & Fraud as one of the central problems that Transak needs to solve to enable safe and scalable access to crypto globally. As Senior Product Manager - Risk & Fraud, you will ...

New

BMO Capital Markets

Risk Assessor

Toronto, ON · Hybrid

CA$69K - CA$129K/yr

Maintain deep understanding of evolving risk areas-such as AML, business continuity, fraud, etc. - and their impact on thirdparty assessments. Governance & Risk Management * Provide oversight to ...

Transunion

Principal, Fraud Analytics

Burlington, ON

... Risk, Collection and/or account management * Proven track record of delivering enterprise-scale fraud detection solutions and measurable business impact. * Deep expertise in fraud typologies (e.g ...

New

TransUnion

Principal, Fraud Analytics

Burlington, ON

... Risk, Collection and/or account management * Proven track record of delivering enterprise-scale fraud detection solutions and measurable business impact. * Deep expertise in fraud typologies (e.g ...

New

Chad Management Group

VP credit Risk & Analytics

Toronto, ON · On-site

CA$160K - CA$180K/yr

VP Credit Risk & Analytics Cambridge ON With over $1Billion in loans funded, our client has helped ... Acquisitions, Adjudication, Credit Limit Assignment, Portfolio Management, Collections, Fraud, Loss ...

Chad Management Group

VP credit Risk & Analytics

Toronto, ON · On-site

CA$160K - CA$180K/yr

VP Credit Risk & Analytics Cambridge ON With over $1Billion in loans funded, our client has helped ... Acquisitions, Adjudication, Credit Limit Assignment, Portfolio Management, Collections, Fraud, Loss ...

Rakuten Kobo

Fraud Lead (12-month contract)

Toronto, ON · On-site +1

Rakuten Kobo Inc. is looking for a Fraud Lead (12 month contract) to join our Risk Management team! Reporting to the Senior Manager Service Management & Security, this role will play a vital part in ...

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All JobsFraud Risk JobsFraud Risk Manager JobsFraud Risk Manager Jobs in Toronto, ON

Fraud Risk Manager information

See Toronto, ON salary details

$13

$42

$78

How much do fraud risk manager jobs pay per hour?

As of Jul 15, 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 Data Scientist, Fraud Detection & Optimization

Senior Data Scientist, Fraud Detection & Optimization

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 2 days ago

New

Job description

Job Description

What is the opportunity?

As a Senior Data Scientist, Fraud Detection & Optimization, you will be responsible for the development and execution of commercial payment fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC's Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.

What will you do?

  • Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
  • Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
  • Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
  • Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
  • Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
  • Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
  • Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
  • Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies

What do you need to succeed?

Must-have

  • 3+ years' experience in analytics or data science related roles, working with large, real-world datasets
  • Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: R, SQL, Python etc.)
  • Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
  • Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
  • Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
  • Ability to see the big picture and guide groups with strategic thinking
  • Excellent time management skills and demonstrated ability to prioritize workload effectively
  • Degree in mathematics, statistics, computer science or related quantitative discipline

Nice-to-have

  • Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
  • Knowledge of Canadian banking and payment industry payments transaction data and financial fraud

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Continued career advancement opportunities
  • Exposure to strong mentorship and leadership examples
  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, and high-performing team

Job Skills

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-06

Application Deadline:

2026-07-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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